scholarly journals Learners sacrifice robust communication as a result of a social bias

2020 ◽  
Author(s):  
Masha Fedzechkina ◽  
Gareth Roberts
Keyword(s):  
Recent Work ◽  
Community Level ◽  
Social Bias ◽  
Trade Off ◽  
Individual Level ◽  
Language Structure ◽  
Informative Case ◽  
Efficient Communication ◽  
Constituent Order ◽  
Social Biases

Languages are subject to many competing pressures, which originate in individual-level learning and communication biases and in social biases reflecting community-level dynamics. Recent work has shown that certain aspects of language structure, such as the cross-linguistic trade-off between case and constituent-order flexibility, originate in learners' biases for efficient communication: Learners drop redundant case but retain informative case in production. Social biases can lead to retention of redundant case, resulting in systems that require more effort to produce. It is not clear, however, whether social biases can influence the use of informative cues. We tested this by exposing participants to a language with uninformative constituent order and two dialects, only one of which employed case. We manipulated the presence of social biases for and against the case dialect. Learners biased towards the no-case dialect dropped informative case without compensating for the resulting message uncertainty. Case was retained in all other conditions.

scholarly journals Complexity/informativeness trade-off in the domain of indefinite pronouns

2021 ◽  
Vol 30 ◽  
pp. 166
Author(s):  
Milica Denić ◽  
Shane Steinert-Threlkeld ◽  
Jakub Szymanik
Keyword(s):  
Recent Work ◽  
Function Word ◽  
Function Words ◽  
Trade Off ◽  
Efficient Communication ◽  
Universal Properties ◽  
Linguistic Analyses ◽  
Indefinite Pronoun ◽  
And Function ◽  
Indefinite Pronouns

The vocabulary of human languages has been argued to support efficient communication by optimizing the trade-off between complexity and informativeness (Kemp & Regier 2012). The argument has been based on cross-linguistic analyses of vocabulary in semantic domains of content words such as kinship, color, and number terms. The present work extends this analysis to a category of function words: indefinite pronouns (e.g. someone, anyone, no-one, cf. Haspelmath 2001). We build on previous work to establish the meaning space and featural make-up for indefinite pronouns, and show that indefinite pronoun systems across languages optimize the complexity/informativeness trade-off. This demonstrates that pressures for efficient communication shape both content and function word categories, thus tying in with the conclusions of recent work on quantifiers by Steinert-Threlkeld (2019). Furthermore, we argue that the trade-off may explain some of the universal properties of indefinite pronouns, thus reducing the explanatory load for linguistic theories.

scholarly journals Less than one-fifth of the mothers practised exclusive breastfeeding in the emerging regions of Ethiopia: a multilevel analysis of the 2016 Ethiopian demographic and health survey

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tsegaye Gebremedhin ◽  
Demiss Mulatu Geberu ◽  
Asmamaw Atnafu
Keyword(s):  
Health Survey ◽  
Exclusive Breastfeeding ◽  
Household Wealth ◽  
Community Level ◽  
Wealth Status ◽  
Individual Level ◽  
Factors Associated ◽  
Breastfeeding Practices ◽  
The Individual ◽  
Low Coverage

Abstract Background The burden of low coverage of exclusive breastfeeding (EBF) has a significant impact on the health of a newborn and also on the family and social economy in the long term. Even though the prevalence of EBF practices in Ethiopia is low, the practices in the pastoral communities, in particular, are significantly low and affected by individual and community-level factors. Besides, its adverse outcomes are mostly unrecognised. Therefore, this study aimed to assess the individual and community-level factors of low coverage of EBF practices in the emerging regions of Ethiopia. Methods In this analysis, data from 2016 Ethiopian Demographic and Health Survey (EDHS) were used. A two-stage stratified sampling technique was used to identify 1406 children aged 0 to 23 months in the emerging regions of Ethiopia. A multilevel mixed-effect binary logistic regression analysis was used to determine the individual and community level factors associated with exclusive breastfeeding practices. In the final model, variables with a p-value of < 0.05 and Adjusted Odds Ratio (AOR) with 95% Confidence Interval (CI) were found to be statistically significant factors that affect exclusive breastfeeding practices. Results Overall, 17.6% (95% CI: 15.6–19.6) of the children aged 0 to 23 months have received exclusive breastfeeding. Employed mothers (AOR: 0.33, 95% CI: 0.21–0.53), richer household wealth status (AOR: 0.39, 95% CI: 0.16–0.96), mothers undecided to have more children (AOR: 2.29, 95% CI: 1.21–4.29), a child with a history of diarrhoea (AOR: 0.31, 95% CI: 0.16–0.61) were the individual-level factors, whereas Benishangul region (AOR: 2.63, 95% CI: 1.44–4.82) was the community-level factors associated with the exclusive breastfeeding practices. Conclusions Less than one-fifth of the mothers have practised exclusive breastfeeding in the emerging regions of Ethiopia. The individual-level factors such as mother’s employment status, household wealth status, desire for more children, presence of diarrhoea and community-level factors such as region have contributed to the low coverage of exclusive breastfeeding. Therefore, the federal and regional health bureaus and other implementers should emphasise to those emerging regions by creating awareness and strengthening the existing community-based health extension program to enhance exclusive breastfeeding practices.

scholarly journals Reducing Social Judgment Biases May Require Identifying the Potential Source of Bias

2018 ◽  
Vol 45 (8) ◽  
pp. 1232-1251 ◽  
Author(s):  
Jordan R. Axt ◽  
Grace Casola ◽  
Brian A. Nosek
Keyword(s):  
Social Judgment ◽  
Bias Reduction ◽  
Social Category ◽  
Social Categories ◽  
Zero Bias ◽  
Social Bias ◽  
Total N ◽  
Potential Source ◽  
Judgment Biases ◽  
Social Biases

Social judgment is shaped by multiple biases operating simultaneously, but most bias-reduction interventions target only a single social category. In seven preregistered studies (total N > 7,000), we investigated whether asking participants to avoid one social bias affected that and other social biases. Participants selected honor society applicants based on academic credentials. Applicants also differed on social categories irrelevant for selection: attractiveness and ingroup status. Participants asked to avoid potential bias in one social category showed small but reliable reductions in bias for that category ( r = .095), but showed near-zero bias reduction on the unmentioned social category ( r = .006). Asking participants to avoid many possible social biases or alerting them to bias without specifically identifying a category did not consistently reduce bias. The effectiveness of interventions for reducing social biases may be highly specific, perhaps even contingent on explicitly and narrowly identifying the potential source of bias.

Perceived Service Need After Hurricane Sandy in a Representative Sample of Survivors: The Roles of Community-Level Damage and Individual-Level Stressors

2016 ◽  
Vol 10 (3) ◽  
pp. 428-435 ◽  
Author(s):  
Laura Sampson ◽  
Sarah R. Lowe ◽  
Oliver Gruebner ◽  
Gregory H. Cohen ◽  
Sandro Galea
Keyword(s):  
Mental Health ◽  
Mental Health Services ◽  
Health Services ◽  
Task Force ◽  
Demographic Data ◽  
Hurricane Sandy ◽  
Building Damage ◽  
Community Level ◽  
Individual Level ◽  
Service Need

AbstractObjectiveWe aimed to explore how individually experienced disaster-related stressors and collectively experienced community-level damage influenced perceived need for mental health services in the aftermath of Hurricane Sandy.MethodsIn a cross-sectional study we analyzed 418 adults who lived in the most affected areas of New York City at the time of the storm. Participants indicated whether they perceived a need for mental health services since the storm and reported on their exposure to disaster-related stressors (eg, displacement, property damage). We located participants in communities (n=293 census tracts) and gathered community-level demographic data through the US Census and data on the number of damaged buildings in each community from the Federal Emergency Management Agency Modeling Task Force.ResultsA total of 7.9% of participants reported mental health service need since the hurricane. Through multilevel binomial logistic regression analysis, we found a cross-level interaction (P=0.04) between individual-level exposure to disaster-related stressors and community-level building damage. Individual-level stressors were significantly predictive of individual service needs in communities with building damage (adjusted odds ratio: 2.56; 95% confidence interval: 1.58-4.16) and not in communities without damage.ConclusionIndividuals who experienced individual stressors and who lived in more damaged communities were more likely to report need for services than were other persons after Hurricane Sandy. (Disaster Med Public Health Preparedness. 2016;10:428–435)

scholarly journals Reducing social judgment biases may require identifying the potential source of bias

2018 ◽  
Author(s):  
Jordan Axt ◽  
Grace Casola ◽  
Brian A. Nosek
Keyword(s):  
Social Judgment ◽  
Bias Reduction ◽  
Social Category ◽  
Social Categories ◽  
Zero Bias ◽  
Social Bias ◽  
Total N ◽  
Potential Source ◽  
Judgment Biases ◽  
Social Biases

Social judgment is shaped by multiple biases operating simultaneously, but most bias-reduction interventions target only a single social category. In seven pre-registered studies (Total N &gt; 7,000), we investigated whether asking participants to avoid one social bias impacted that and other social biases. Participants selected honor society applicants based on academic credentials. Applicants also differed on social categories irrelevant for selection: attractiveness and ingroup status. Participants asked to avoid potential bias in one social category showed small but reliable reductions in bias for that category (r = .095), but showed near zero bias reduction on the unmentioned social category (r = .006). Asking participants to avoid many possible social biases or alerting them to bias without specifically identifying a category did not consistently reduce bias. The effectiveness of interventions for reducing social biases may be highly specific, perhaps even contingent on explicitly and narrowly identifying the potential source of bias.

scholarly journals Equivalence of LD-Score Regression and Individual-Level-Data Methods

2017 ◽  
Author(s):  
Ronald de Vlaming ◽  
Magnus Johannesson ◽  
Patrik K.E. Magnusson ◽  
M. Arfan Ikram ◽  
Peter M. Visscher
Keyword(s):  
Maximum Likelihood ◽  
Recent Work ◽  
Principal Components ◽  
Population Stratification ◽  
Summary Statistics ◽  
Test Statistics ◽  
Ceteris Paribus ◽  
Individual Level ◽  
Level Data ◽  
Genomic Relatedness

AbstractLD-score (LDSC) regression disentangles the contribution of polygenic signal, in terms of SNP-based heritability, and population stratification, in terms of a so-called intercept, to GWAS test statistics. Whereas LDSC regression uses summary statistics, methods like Haseman-Elston (HE) regression and genomic-relatedness-matrix (GRM) restricted maximum likelihood infer parameters such as SNP-based heritability from individual-level data directly. Therefore, these two types of methods are typically considered to be profoundly different. Nevertheless, recent work has revealed that LDSC and HE regression yield near-identical SNP-based heritability estimates when confounding stratification is absent. We now extend the equivalence; under the stratification assumed by LDSC regression, we show that the intercept can be estimated from individual-level data by transforming the coefficients of a regression of the phenotype on the leading principal components from the GRM. Using simulations, considering various degrees and forms of population stratification, we find that intercept estimates obtained from individual-level data are nearly equivalent to estimates from LDSC regression (R2> 99%). An empirical application corroborates these findings. Hence, LDSC regression is not profoundly different from methods using individual-level data; parameters that are identified by LDSC regression are also identified by methods using individual-level data. In addition, our results indicate that, under strong stratification, there is misattribution of stratification to the slope of LDSC regression, inflating estimates of SNP-based heritability from LDSC regression ceteris paribus. Hence, the intercept is not a panacea for population stratification. Consequently, LDSC-regression estimates should be interpreted with caution, especially when the intercept estimate is significantly greater than one.

Barriers and Facilitators of HIV and Hepatitis C Care Among People Who Inject Drugs in Nairobi, Kenya: A Qualitative Study with Peer Educators

2021 ◽  
Author(s):  
Natasha Ludwig-Barron ◽  
Brandon L Guthrie ◽  
Loice Mbogo ◽  
David Bukusi ◽  
William Sinkele ◽  
...  
Keyword(s):  
Hepatitis C ◽  
Law Enforcement ◽  
Harm Reduction ◽  
People Who Inject Drugs ◽  
Community Level ◽  
Barriers And Facilitators ◽  
Peer Educators ◽  
Prevention Education ◽  
Individual Level ◽  
Policy Level

Abstract Background: In Kenya, people who inject drugs (PWID) are disproportionately affected by HIV and hepatitis C (HCV) epidemics, including HIV-HCV coinfections; however, few have assessed factors affecting their access to and engagement in care through the lens of harm reduction specialists. This qualitative study leverages the personal and professional experiences of peer educators to help identify HIV and HCV barriers and facilitators to care among PWID in Nairobi, including resource recommendations to improve service uptake. Methods: We recruited peer educators from two harm reduction facilities in Nairobi, Kenya, using random and purposive sampling techniques. Semi-structured interviews explored circumstances surrounding HIV and HCV service access, prevention education and resource recommendations. A thematic analysis was conducted using the Modified Social Ecological Model (MSEM) as an underlying framework, with illustrative quotes highlighting emergent themes. Results: Twenty peer educators participated, including six women, with 2 months to 6 years of harm reduction service. Barriers to HIV and HCV care were organized by (a) individual-level themes including competing needs of addiction and misinterpreted symptoms; (b) network-level themes including social isolation and drug pusher interactions; (c) community-level themes including transportation, mental and rural healthcare services, and limited HCV resources; and (d) policy-level themes including nonintegrated services, clinical administration, and law enforcement. Stigma, an overarching barrier, was highlighted throughout the MSEM. Facilitators to HIV and HCV care were comprised of (a) individual-level themes including concurrent care, personal reflections, and religious beliefs; (b) network-level themes including community recommendations, navigation services, family commitment, and employer support; (c) community-level themes including quality services, peer support, and outreach; and (d) policy-level themes including integrated services and medicalized approaches within law enforcement. Participant resource recommendations include (i) additional medical, social and ancillary support services, (ii) national strategies to address stigma and violence and (iii) HCV prevention education. Conclusions : Peer educators provided intimate knowledge of PWID barriers and facilitators to HIV and HCV care that were described at each level of the MSEM, and should be given careful consideration when developing future initiatives. Recommendations emphasized policy and community-level interventions including educational campaigns and program suggestions to supplement existing HIV and HCV services.

Abstract P447: Index of Concentration at the Extremes and Diabetes Prevalence: The Reasons for Geographic and Racial Differences in Stroke (regards) Study

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Gargya Malla ◽  
D. Leann Long ◽  
Nyesha C Black ◽  
Sha Zhu ◽  
Jalal Uddin ◽  
...  
Keyword(s):  
Racial Differences ◽  
Community Level ◽  
Diabetes Prevalence ◽  
Median Income ◽  
Census Tracts ◽  
Individual Level ◽  
Black And White ◽  
The Us ◽  
Regards Study ◽  
Increase Diabetes Risk

Background: Stark regional and racial disparities in diabetes prevalence exist in the US. Community-level factors (e.g., median income) have been associated with higher diabetes prevalence. However, few studies have investigated how community-level spatial polarization, specifically in race and income, may relate to diabetes burden. Objective: To investigate the association between the Index of Concentration at the Extremes (ICE), a measure that reflects polarization in race and income at the community-level, and individual-level diabetes prevalence. Methods: This analysis included 24,752 Black and White adults age ≥ 45 years at baseline (2003-2007) from the REGARDS Study. The ICE measure quantifies the concentration of community affluence and poverty in a census tract using both income and race jointly, with values ranging from -1 (most deprived) to +1 (most privileged). Diabetes was defined as fasting glucose ≥ 126 mg/dL or random glucose ≥ 200 mg/dL or use of diabetes medication. Modified Poisson regression was used to obtain prevalence ratios and 95% CI for the association of ICE quartiles with prevalent diabetes. Results: The overall prevalence of diabetes was 21% and was highest for adults living in the most deprived census tracts (28.3%) and lowest for those living in the most privileged census tracts (12.5%). The association between ICE and prevalent diabetes was graded in crude analyses but attenuated after adjustment for individual-level sociodemographic, lifestyle and clinical factors (Table). Conclusion: Communities with greater polarization in race and income had a higher burden of diabetes. This association was mostly explained by individual-level socioeconomic and lifestyle factors. Further investigation of community-level attributes and how they relate to individual-level factors that increase diabetes risk is needed.

scholarly journals Task-Layer Multiplicity as a Measure of Community Level Health

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
P. Fraundorf
Keyword(s):  
Belief Systems ◽  
Well Being ◽  
Community Level ◽  
Behavioral Measure ◽  
Policy Changes ◽  
Web Searches ◽  
Individual Level ◽  
Broken Symmetries ◽  
Attention Focus ◽  
The Impact

The insights of many disciplines, and of commonsense, about individual-level well-being might be strengthened by a shift in focus to community-level well-being in a way that respects belief systems as well as the power of each individual. We start with the jargon of complex systems and the possibility that a small number of broken symmetries, marked by the edges of a hierarchical series of physical subsystem types, underlie the delicate correlation-based complexity of life on our planet’s surface. We show that an information-theory-inspired model of attention-focus on correlation layers, which looks in/out from the boundaries of skin, family, and culture, predicts that behaviorally diverse communities may tend toward a characteristic task-layer multiplicity per individual of only e29/20≅ 4.26 of the six correlation layers that comprise that community. This behavioral measure of opportunity may help us to (i) go beyond GDP in quantifying the impact of policy changes and disasters, (ii) manage electronic idea-streams in ways that strengthen community networks, and (iii) leverage our paleolithic shortcomings toward the enhancement of community-level task-layer diversity. Empirical methods for acquiring task-layer multiplicity data are in their infancy, although for human communities a great deal of potential lies in the analysis of web searches and asynchronous experience sampling similar to that used by “flu near you.”

scholarly journals The transformative service paradox: the dilemma of wellbeing trade-offs

2020 ◽  
Vol 31 (4) ◽  
pp. 637-663
Author(s):  
Rebekah Russell–Bennett ◽  
Rory Mulcahy ◽  
Kate Letheren ◽  
Ryan McAndrew ◽  
Uwe Dulleck
Keyword(s):  
Laboratory Experiment ◽  
Qualitative Interviews ◽  
Implicit Assumption ◽  
Trade Off ◽  
Content Type ◽  
Individual Level ◽  
Trade Offs ◽  
Physical Wellbeing ◽  
The Individual ◽  
Future Implication

PurposeA transformative service aims to improve wellbeing; however, current approaches have an implicit assumption that all wellbeing dimensions are equal and more dimensions led to higher wellbeing. The purpose of this paper is to present evidence for a new framework that identifies the paradox of competing wellbeing dimensions for both the individual and others in society – the transformative service paradox (TSP).Design/methodology/approachData is drawn from a mixed-method approach using qualitative (interviews) and quantitative data (lab experiment) in an electricity service context. The first study involves 45 household interviews (n = 118) and deals with the nature of trade-offs at the individual level to establish the concept of the TSP. The second study uses a behavioral economics laboratory experiment (n = 110) to test the self vs. other nature of the trade-off in day-to-day use of electricity.FindingsThe interviews and experiment identified that temporal (now vs. future) and beneficiary-level factors explain why individuals make wellbeing trade-offs for the transformative service of electricity. The laboratory experiment showed that when the future implication of the trade-off is made salient, consumers are more willing to forego physical wellbeing for environmental wellbeing, whereas when the “now” implication is more salient consumers forego financial wellbeing for physical wellbeing.Originality/valueThis research introduces the term “Transformative Service Paradox” and identifies two factors that explain why consumers make wellbeing trade-offs at the individual level and at the societal level; temporal (now vs. future) and wellbeing beneficiary.

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