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Psychological Research and Public Policy: Bridging the Gap

2007· article· en· W1737152717 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.

Bibliographic record

VenueSocial Issues and Policy Review · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsWestern University
Fundersnot available
KeywordsBridging (networking)Bridge (graph theory)DisseminationOrder (exchange)Value (mathematics)Public relationsPsychological researchPsychologySociologySocial psychologyPolitical scienceBusinessComputer scienceLaw

Abstract

fetched live from OpenAlex

Opportunities for communicating psychological findings beyond the discipline are limited and often under‐rewarded. In this article, we discuss reasons why psychological research often fails to be communicated beyond the discipline, and we provide suggestions for what needs to be changed in order to bridge this gap. Specifically, we identify barriers to communicating beyond the discipline, and we note that more effectively and broadly disseminating knowledge requires a different style than conveying information within the profession. We further illustrate how psychology offers unique perspectives and information that are of considerable value to lay audiences and policy makers. We conclude by articulating the potential benefits for society and psychology of efforts and venues whose explicit intention is to understand social problems and inform policy through the psychological study of social issues.

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)0.024
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.947
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0240.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.880
GPT teacher head0.779
Teacher spread0.101 · 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