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STATE OF SCIENCE IN INDUSTRIAL AND ORGANIZATIONAL PSYCHOLOGY: A REVIEW OF SELF‐REPORTED LIMITATIONS

2010· review· en· W2092712913 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

VenuePersonnel Psychology · 2010
Typereview
Languageen
FieldEconomics, Econometrics and Finance
TopicOccupational and Professional Licensing Regulation
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsOperationalizationPsychologyIndustrial and organizational psychologyApplied psychologyPsychological researchConsulting psychologyFocus (optics)Social psychologySchool psychologyEpistemology

Abstract

fetched live from OpenAlex

This study investigated self‐reported limitations of published papers as an alternative and novel operationalization of the state of science of industrial and organizational (I‐O) psychology. A content analysis was conducted of the reported limitations in every I‐O psychology articles published in the Academy of Management Journal, the Journal of Applied Psychology , and Personnel Psychology between 1995 and 2008 ( N = 2,402). Articles were coded for the number and types of limitations reported, characteristics of the research design, and topic area. Threats to internal validity were the most often reported limitations. In addition, variations were detected in the reporting of limitations over time, indicating a subtle but steady shift in the focus of I‐O psychology research. Implications of these results for the science and practice of I‐O psychology and for the use of self‐reported limitations in scientific communication are discussed.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.919
Threshold uncertainty score0.768

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.229
GPT teacher head0.393
Teacher spread0.164 · 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