Neural processing of phoneme, affect, and gender information in spoken words: A cross-modal priming study

2021 ◽  
Vol 150 (4) ◽  
pp. A310-A310
Author(s):  
Yang Zhang ◽  
Jo-fu Lotus Lin ◽  
Keita Tanaka ◽  
Toshiaki Imada
Keyword(s):  
Neural Processing ◽  
Gender Information ◽  
Spoken Words ◽  
And Gender

On the Semantic Content of Grammatical Gender and Its Impact on the Representation of Human Referents

2010 ◽  
Vol 57 (5) ◽  
pp. 367-375 ◽  
Author(s):  
Lisa Irmen ◽  
Julia Kurovskaja
Keyword(s):  
Semantic Content ◽  
Grammatical Gender ◽  
Differential Effects ◽  
Gender Information ◽  
Masculine Role ◽  
Feminine Role ◽  
And Gender ◽  
Gender Categories ◽  
Open Question

Grammatical gender has been shown to provide natural gender information about human referents. However, due to formal and conceptual differences between masculine and feminine forms, it remains an open question whether these gender categories influence the processing of person information to the same degree. Experiment 1 compared the semantic content of masculine and feminine grammatical gender by combining masculine and feminine role names with either gender congruent or incongruent referents (e.g., Dieser Lehrer [masc.]/Diese Lehrerin [fem.] ist mein Mann/meine Frau; This teacher is my husband/my wife). Participants rated sentences in terms of correctness and customariness. In Experiment 2, in addition to ratings reading times were recorded to assess processing more directly. Both experiments were run in German. Sentences with grammatically feminine role names and gender incongruent referents were rated as less correct and less customary than those with masculine forms and incongruent referents. Combining a masculine role name with an incongruent referent slowed down reading to a greater extent than combining a feminine role name with an incongruent referent. Results thus specify the differential effects of masculine and feminine grammatical gender in denoting human referents.

scholarly journals An approach for the determination and correlation of diversity and efficiency of software development teams

2018 ◽  
Vol 114 (3/4) ◽  
Author(s):  
Seher Altiner ◽  
Mustafa B. Ayhan
Keyword(s):  
Software Development ◽  
Diversity Index ◽  
Real Life ◽  
Diversity Indices ◽  
Positive Correlation ◽  
Educational Backgrounds ◽  
Gender Information ◽  
Experience Education ◽  
And Gender ◽  
The Impact

We examined the impact of diversity on team efficiency. To do so, a model was developed to measure both the efficiency and diversity of the teams. Based on these measures, the correlation between efficiency and diversity was also analysed. In addition, to demonstrate the applicability of the model, it was applied to a real-life problem involving five teams dealing with different software development projects. Firstly, diversity indices were calculated based on age, experience, education and gender information on each member for each team by using Simpson’s Diversity Index. Then, four key performance indicators (KPIs) were defined to measure the success rate of the teams. Depending on these KPIs, efficiencies of the teams were measured through data envelopment analysis (DEA). The correlation between team efficiency and each diversity factor was analysed and all four factors had positive correlation with efficiency. That is, in order to increase efficiency, teams should be composed of members with diverse characteristics. Education was the diversity factor that had the most positive correlation with team efficiency. This result highlights the importance of different educational backgrounds on team efficiency.

Providing Inclusive Care for Transgender Patients: Capturing Sex and Gender in the Electronic Medical Record

2020 ◽  
Author(s):  
Khushbu Patel ◽  
Martha E Lyon ◽  
Hung S Luu
Keyword(s):  
Medical Record ◽  
Electronic Medical Record ◽  
Standards Of Care ◽  
Sex And Gender ◽  
Care Providers ◽  
Care Environment ◽  
Gender Nonconforming ◽  
Gender Information ◽  
And Gender

Abstract Background Providing a positive patient experience for transgender individuals includes making the best care decisions and providing an inclusive care environment in which individuals are welcomed and respected. Over the past decades, introduction of electronic medical record (EMR) systems into healthcare has improved quality of care and patient outcomes through improved communications among care providers and patients and reduced medical errors. Promoting the highest standards of care for the transgender populations requires collecting and documenting detailed information about patient identity, including sex and gender information in both the EMR and laboratory information system (LIS). Content As EMR systems are beginning to incorporate sex and gender information to accommodate transgender and gender nonconforming patients, it is important for clinical laboratories to understand the importance and complexity of this endeavor. In this review, we highlight the current progress and gaps in EMR/LIS to capture relevant sex and gender information. Summary Many EMR and LIS systems have the capability to capture sexual orientation and gender identity (SOGI). Fully integrating SOGI into medical records can be challenging, but is very much needed to provide inclusive care for transgender individuals.

Body posture and gender impact neural processing of power-related words

2016 ◽  
Vol 157 (4) ◽  
pp. 474-484 ◽  
Author(s):  
April H. Bailey ◽  
Spencer D. Kelly
Keyword(s):  
Body Posture ◽  
Neural Processing ◽  
And Gender

SPECIES EPITHETS AND GENDER INFORMATION

Taxon ◽  
1986 ◽  
Vol 35 (2) ◽  
pp. 323-328 ◽  
Author(s):  
Dan H. Nicolson
Keyword(s):  
Gender Information ◽  
And Gender

scholarly journals Opinions of Accounting and Taxation Applications Program Students on Accounting Auditing Activities

2019 ◽  
pp. 1-12
Author(s):  
Murat KARAHAN
Keyword(s):  
Age And Gender ◽  
Accounting Professionals ◽  
Gender Information ◽  
Package Program ◽  
And Gender

This study is designed to evaluate the Accounting and Taxation Program against students' accounting audit activities. In this context, a questionnaire about accounting audit was applied in order to determine the opinions of the students. Moreover, gender information of the students who participated in the survey were also collected. Findings from the questionnaires were analyzed with SPSS v 24.0 package program. At the end of the study, the preliminary judgements about the activities of the auditing of the students who participated in the survey were determined and the precautions to be taken against these prejudices and the trainings to be given were emphasized so that the auditing activities could gain the merit which the accounting professionals deserve. In addition, the changes in responses to questions by age and gender were analyzed comparatively

scholarly journals Cough-Based COVID-19 Detection with Contextual Attention Convolutional Neural Networks and Gender Information

2021 ◽  
Author(s):  
Adria Mallol-Ragolta ◽  
Helena Cuesta ◽  
Emilia Gómez ◽  
Björn W. Schuller
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Gender Information ◽  
And Gender

scholarly journals Dialog Structure Through the Lens of Gender, Gender Environment, and Power

2017 ◽  
Vol 8 (2) ◽  
pp. 21-55
Author(s):  
Vinodkumar Prabhakaran ◽  
Owen Rambow
Keyword(s):  
Social Context ◽  
Human Behavior ◽  
Social Contexts ◽  
Social Scientists ◽  
Gender Information ◽  
The Social ◽  
Computer Scientists ◽  
Automatic Methods ◽  
And Gender ◽  
Textual Content

Understanding how the social context of an interaction affects our dialog behavior is of great interest to social scientists who study human behavior, as well as to computer scientists who build automatic methods to infer those social contexts. In this paper, we study the interaction of power, gender, and dialog behavior in organizational interactions. In order to perform this study, we first construct the Gender Identified Enron Corpus of emails, in which we semi-automatically assign the gender of around 23,000 individuals who authored around 97,000 email messages in the Enron corpus. This corpus, which is made freely available, is orders of magnitude larger than previously existing gender identified corpora in the email domain. Next, we use this corpus to perform a largescale data-oriented study of the interplay of gender and manifestations of power. We argue that, in addition to one’s own gender, the “gender environment” of an interaction, i.e., the gender makeup of one’s interlocutors, also affects the way power is manifested in dialog. We focus especially on manifestations of power in the dialog structure — both, in a shallow sense that disregards the textual content of messages (e.g., how often do the participants contribute, how often do they get replies etc.), as well as the structure that is expressed within the textual content (e.g., who issues requests and how are they made, whose requests get responses etc.). We find that both gender and gender environment affect the ways power is manifested in dialog, resulting in patterns that reveal the underlying factors. Finally, we show the utility of gender information in the problem of automatically predicting the direction of power between pairs of participants in email interactions.

The Development of Intersectional Social Prototypes

2019 ◽  
Author(s):  
Ryan Lei ◽  
Rachel Leshin ◽  
Marjorie Rhodes
Keyword(s):  
Black Women ◽  
Black Men ◽  
Asian Women ◽  
Category Representation ◽  
Social Categories ◽  
Race And Gender ◽  
Gender Categorization ◽  
Developmental Shift ◽  
Gender Information ◽  
And Gender

Race and gender information overlap to shape adults’ representations of social categories. This overlap can lead to the “psychological invisibility” of people whose race and gender identities are perceived to have conflicting stereotypes. The present research examines whether and when race begins to bias representations of gender across development. Using a speeded categorization task, Study 1 revealed that children were slower to categorize Black women as women, relative to White and Asian women as women and Black men as men. Children were also more likely to mis-categorize Black women as men and less likely to stereotype Black women as feminine. Study 2 replicated these findings and provided evidence of a developmental shift in categorization speed. An omnibus analysis provided a high-powered test of developmental hypotheses, revealing that target race began biasing children’s gender categorization around age 5. Implications for the development of social category representation are discussed.

scholarly journals Neural processing of spoken words in specific language impairment and dyslexia

Brain ◽  
2009 ◽  
Vol 132 (7) ◽  
pp. 1918-1927 ◽  
Author(s):  
P. Helenius ◽  
T. Parviainen ◽  
R. Paetau ◽  
R. Salmelin
Keyword(s):  
Language Impairment ◽  
Specific Language Impairment ◽  
Neural Processing ◽  
Specific Language ◽  
Spoken Words
Sign in / Sign up

Export Citation Format

Share Document