scholarly journals Patterns in the journalistic selection of neuroscientific research results

2020 ◽  
Author(s):  
Sarah Kohler ◽  
Nikolai Promies ◽  
Markus Lehmkuhl
Keyword(s):  
Power Law ◽  
Scientific Journals ◽  
Science Journalism ◽  
Public Attention ◽  
Output Analysis ◽  
Research Results ◽  
Scientific Disciplines ◽  
Micro Level ◽  
Power Law Distributions ◽  
Selection Of

This study compares the journalistic selection of scientific results from the field of neuroscience with other scientific disciplines. Based on an input-output analysis using data from the citation database Scopus and the alternative bibliometrics provider Altmetric, we investigated which scientific studies from which scientific journals have been selected by global journalism. Previous research suggests that the selection of sources and results in science journalism follows a certain heavy-tailed distribution, a power law. This structure of journalistic coverage is a result of conditions on the micro-level of actions and decisions of individual journalists. Among these conditions are restrictions that derive from the process and constitution of scientific publishing and research results. We argue that the parameter of such power law distributions can potentially be used to describe selectivity in journalism on a high aggregation level. Differences in the value of the parameter point to differences in the conditions present on the micro-level. To test this assumption, we chose a field of research that has attracted a considerable degree of public attention over the last few years: neuroscience. We expected to find differences in the exponent of power law distributions between neuroscience and other scientific disciplines. Our results show that the frequency distribution of journalistic references to single studies and journals in the coverage of neuroscientific research can be described by a power law. The selection of scientific journals is more homogenous in neuroscience in the sense that there is a less pronounced dominance of just a few journals. It is proposed to interpret this as an effect of the greater popularity of neuroscience.

scholarly journals Frequency distribution of journalistic attention for scientific studies and scientific sources: An input – output analysis

2020 ◽  
Author(s):  
Markus Lehmkuhl ◽  
Nikolai Promies
Keyword(s):  
Power Law ◽  
Media Coverage ◽  
Social Impact ◽  
News Coverage ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Study Results ◽  
Scientific Results ◽  
Selection Of

Based on the decision-theoretical conditions underlying the selection of events for news coverage in science journalism, this article uses a novel input-output analysis to investigate which of the more than eight million scientific study results published between August 2014 and July 2018 have been selected by global journalism to a relevant degree. We are interested in two different structures in the media coverage of scientific results. Firstly, the structure of sources that journalists use, i.e. scientific journals, and secondly, the congruence of the journalistic selection of single results. Previous research suggests that the selection of sources and results follows a certain heavy-tailed distribution, a power law. Mathematically, this distribution can be described with a function of the form C*x-α. We argue that the exponent of such power law distributions can potentially be an indicator to describe selectivity in journalism on a high aggregation level. In our input-output analysis, we look for such patterns in the coverage of all scientific results published in the database Scopus over four years. To get an estimate of the coverage of these results, we use data from the altmetrics provider Altmetric, more precisely their Mainstream-Media-Score (MSM-Score). Based on exploratory analyses, we define papers with a score of 50 or above as Social Impact Papers (SIPs). Over our study period, we identified 5,833 SIPs published in 1,236 journals. We consider a power law fit with an exponent of about -2 to be plausible for the distribution of the source selection but cannot confirm the power law hypothesis for the distribution of the selection of single results. In this case, an exponentially truncated power law seems to be the better fit.

scholarly journals TRANSITION FROM EXPONENTIAL TO POWER LAW INCOME DISTRIBUTIONS IN A CHAOTIC MARKET

2011 ◽  
Vol 22 (01) ◽  
pp. 21-33 ◽  
Author(s):  
CARMEN PELLICER-LOSTAO ◽  
RICARDO LOPEZ-RUIZ
Keyword(s):  
Power Law ◽  
Chaotic Dynamics ◽  
Pairing Symmetry ◽  
Power Law Distribution ◽  
Closed Economies ◽  
Income Distributions ◽  
Chaotic Model ◽  
New Models ◽  
Micro Level ◽  
Power Law Distributions

Economy is demanding new models, able to understand and predict the evolution of markets. To this respect, Econophysics offers models of markets as complex systems, that try to comprehend macro-, system-wide states of the economy from the interaction of many agents at micro-level. One of these models is the gas-like model for trading markets. This tries to predict money distributions in closed economies and quite simply, obtains the ones observed in real economies. However, it reveals technical hitches to explain the power law distribution, observed in individuals with high incomes. In this work, nonlinear dynamics is introduced in the gas-like model in an effort to overcomes these flaws. A particular chaotic dynamics is used to break the pairing symmetry of agents (i, j) ⇔ (j, i). The results demonstrate that a "chaotic gas-like model" can reproduce the Exponential and Power law distributions observed in real economies. Moreover, it controls the transition between them. This may give some insight of the micro-level causes that originate unfair distributions of money in a global society. Ultimately, the chaotic model makes obvious the inherent instability of asymmetric scenarios, where sinks of wealth appear and doom the market to extreme inequality.

scholarly journals Frequency distribution of journalistic attention for scientific studies and scientific sources: An input–output analysis

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0241376
Author(s):  
Markus Lehmkuhl ◽  
Nikolai Promies
Keyword(s):  
Power Law ◽  
Media Coverage ◽  
Social Impact ◽  
News Coverage ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Study Results ◽  
Scientific Results ◽  
Selection Of

Based on the decision-theoretical conditions underlying the selection of events for news coverage in science journalism, this article uses a novel input-output analysis to investigate which of the more than eight million scientific study results published between August 2014 and July 2018 have been selected by global journalism to a relevant degree. We are interested in two different structures in the media coverage of scientific results. Firstly, the structure of sources that journalists use, i.e. scientific journals, and secondly, the congruence of the journalistic selection of single results. Previous research suggests that the selection of sources and results follows a certain heavy-tailed distribution, a power law. Mathematically, this distribution can be described with a function of the form C*x-α. We argue that the exponent of such power law distributions can potentially be an indicator to describe selectivity in journalism on a high aggregation level. In our input-output analysis, we look for such patterns in the coverage of all scientific results published in the database Scopus over four years. To get an estimate of the coverage of these results, we use data from the altmetrics provider Altmetric, more precisely their Mainstream-Media-Score (MSM-Score). Based on exploratory analyses, we define papers with a score of 50 or above as Social Impact Papers (SIPs). Over our study period, we identified 5,833 SIPs published in 1,236 journals. For both the distribution of the source selection and the distribution of the selection of single results, an exponentially truncated power law is a better fit than the power law, mostly because we find a steeper decline in the tail of the distributions.

Pola Bimbingan Orang Tua Asuh dalam Menumbuhkan Kecerdasan Emosional Remaja

2019 ◽  
Vol 7 (3) ◽  
pp. 311-330
Author(s):  
Iva Faridha Azahro ◽  
Nanih Machendrawaty ◽  
Hajir Tajiri
Keyword(s):  
Emotional Intelligence ◽  
Foster Care ◽  
Research Method ◽  
Foster Parents ◽  
Data Gathering ◽  
Qualitative Approach ◽  
Research Results ◽  
Descriptive Research ◽  
Selection Of

Tujuan dari peneliti ini yaitu untuk mengetahui (1) karakteristik kecerdasan emosional remaja di RPSAA Ciumbuleuit Bandung; (2) pola bimbingan orang tua asuh dalam menumbuhkan kecerdasan emosional remaja di RPSAA Ciumbuleuit Bandung; (3) hasil pola bimbingan orang tua asuh dalam menumbuhkan kecerdasan emosional remaja di RPSAA Ciumbuleuit Bandung. Penelitian ini menggunakan pendekatan kualitatif dengan metode penelitian deskriptif, pemilihan subjek dan informan dengan cara acak dan teknik pengumpulan datanya melalui observasi, dokumentasi dan wawancara terhadap enam orang anak asuh dan tiga orang tua asuh. Hasil penelitian yang diperoleh peneliti menyimpulkan bahwa anak sebelum memperoleh pengasuhan dari orang tua asuh di RPSAA memiliki karakteristik kecerdasan emosional rendah. Pola pengasuhan yang diterapkan di RPSAA kepada anak asuh adalah pola asuh demokratis. Sedangkan hasil pengasuhan dalam menumbuhkan kecerdasan emosional remaja di RPSAA Ciumbuleuit Bandung menyimpulkan bahwa anak asuh usia remaja telah memiliki kecerdasan emosional yang cukup baik, yaitu terlihat dari bagaimana cara mereka mampu mengendalikan segala perasaan yang pada dirinya, meskipun ada remaja yang belum sepenuhnya memenuhi aspek kecerdasan emosional.   The goal of these researchers is to figure out (1) characteristics of the emotional intelligence of teenagers in RPSAA Ciumbuleuit Bandung; (2) foster parents guidance pattern in fostering emotional intelligence RPSAA Ciumbuleuit Bandung in adolescents; (3) results foster parents guidance pattern in fostering emotional intelligence RPSAA Ciumbuleuit Bandung in teens. This research used the qualitative approach with descriptive research method, the selection of subjects and informants by means of random and data gathering techniques through observation, interview and documentation against six people and three foster care parents foster care. The research results obtained by researchers concluded that child before obtaining care of foster parents in RPSAA has the characteristic of low emotional intelligence. Parenting patterns are applied in the RPSAA to foster care parenting is democratic. While parenting results in fostering emotional intelligence RPSAA Ciumbuleuit Bandung teenager in concluding that foster care teens have had a pretty good emotional intelligence, that is visible from how they are able to control all the feelings on him, even though there are teenagers who do not yet fully meet aspects of emotional intelligence.

Kesiapan Sekolah Menghadapi OSN Ekonomi SMA Di Kota Padang

2018 ◽  
Vol 8 (2) ◽  
pp. 60
Author(s):  
Yuhendri L.V
Keyword(s):  
Information Technology ◽  
Literature Review ◽  
Learning Technology ◽  
Scientific Journals ◽  
Research Results ◽  
Learning Challenges ◽  
E Learning

The development of information technology has spawned the innovation of learning technology, one of which is the application of E-learning that develops along the paradigm of learning changes. Implementation of E-learning in addition to providing benefits are also still faced with various problems that become challenges in the application of E-learning resulting in a variety of perceptions that develop in society. This article aims to describe the opportunities, challenges, and implementation of E-learning in Indonesia. This paper is a literature review by using relevant sources related to theoretical and empirical reviews of E-learning challenges, opportunities, and implementation. Sources of theoretical reviews use books, other documents on E-learning, while for empirical reviews using research results published in scientific journals.

The HeLa Bomb and the Science of Unveiling

2016 ◽  
Vol 2 (2) ◽  
pp. 1-30 ◽  
Author(s):  
Sandra Harvey
Keyword(s):  
Cultural Studies ◽  
Hela Cell ◽  
Sexual Desire ◽  
State Building ◽  
Social Progress ◽  
Scientific Journals ◽  
Science Journalism ◽  
Medical Institutions ◽  
A Cell ◽  
And Gender

This essay reads the narratives of HeLa cell contamination as accusations of racial and gender passing. It argues that the passing narrative is much more complex, rarely confined to an individual’s autonomous will, and far more entrenched in state building and concepts of social progress than previously considered. I urge us to move away from the desire of the passing subject, and back to our own to ask after the sort of anxiety, excitement, and panic that animate our attempts to see, classify, and regulate bodies. Thus, what becomes significant is an examination of an “ethics of knowing” within science. The paper draws on a collection of correspondence, lab notes, published articles, and newspaper clippings related to Henrietta Lacks and HeLa from the George O. Gey Collection at the Medical Archives of the Johns Hopkins Medical Institutions (1918-1974) and articles on HeLa published in scientific journals, science journalism, and cultural studies articles (1950-present). In doing so, it traces the narratives of science (and its complex of industries—journalism and cultural studies) and HeLa’s passing. Tracing the reactions to HeLa contamination, the paper asks after the ways national, racial, and sexual desire, fantasy, anxiety, and paranoia have animated the cells through time. Particularly it examines the agency of HeLa, a cell line that is passed through race and genders and ideas of mortality, as it makes clear its own vital, creative, and destructive forces.

scholarly journals Predicting observational signatures of coronal heating by Alfvén waves and nanoflares

2007 ◽  
Vol 3 (S247) ◽  
pp. 279-287
Author(s):  
Patrick Antolin ◽  
Kazunari Shibata ◽  
Takahiro Kudoh ◽  
Daiko Shiota ◽  
David Brooks
Keyword(s):  
Power Law ◽  
Alfven Waves ◽  
Alfvén Waves ◽  
Power Law Distribution ◽  
Longitudinal Modes ◽  
Heating Mechanism ◽  
Set Up ◽  
Power Law Index ◽  
Power Law Distributions ◽  
Release Processes

AbstractAlfvén waves can dissipate their energy by means of nonlinear mechanisms, and constitute good candidates to heat and maintain the solar corona to the observed few million degrees. Another appealing candidate is the nanoflare-reconnection heating, in which energy is released through many small magnetic reconnection events. Distinguishing the observational features of each mechanism is an extremely difficult task. On the other hand, observations have shown that energy release processes in the corona follow a power law distribution in frequency whose index may tell us whether small heating events contribute substantially to the heating or not. In this work we show a link between the power law index and the operating heating mechanism in a loop. We set up two coronal loop models: in the first model Alfvén waves created by footpoint shuffling nonlinearly convert to longitudinal modes which dissipate their energy through shocks; in the second model numerous heating events with nanoflare-like energies are input randomly along the loop, either distributed uniformly or concentrated at the footpoints. Both models are based on a 1.5-D MHD code. The obtained coronae differ in many aspects, for instance, in the simulated intensity profile that Hinode/XRT would observe. The intensity histograms display power law distributions whose indexes differ considerably. This number is found to be related to the distribution of the shocks along the loop. We thus test the observational signatures of the power law index as a diagnostic tool for the above heating mechanisms and the influence of the location of nanoflares.

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