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Record W2013728161 · doi:10.1093/biosci/biu168

Public (Mis)understanding of News about Behavioral Genetics Research: A Survey Experiment

2014· article· en· W2013728161 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBioScience · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsUniversité de Montréal
FundersFonds de Recherche du Québec-Société et CultureCanada Research Chairs
KeywordsBehavioural geneticsMainstreamBehavioural sciencesPsychologyGeneticsBiologyPolitical scienceDevelopmental psychology

Abstract

fetched live from OpenAlex

Discoveries from the field of behavioral genetics regularly appear in the mainstream news media. Although science journalists generally present reliable reports of these research findings, the way this information is interpreted by the public remains unclear. In the current study, I examined this issue using a blinded randomized controlled experiment implemented using a Web survey. In total, 1413 American subjects were exposed to one of three published news articles: one covering cancer genetics and the two others covering recent findings from behavioral genetics research. The results indicate that both treatments inadvertently contribute to increasing subjects' impression that genetics also influence other orientations, skills, and behaviors that are at best loosely related to the content of the news. This finding highlights an important paradox: The dissemination of news about behavioral genetics unintentionally induces unfounded beliefs that are not supported by the scientific evidence presented, therefore going against the educational purpose of science reporting.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.261
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.963
GPT teacher head0.606
Teacher spread0.358 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it