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Record W2729775580 · doi:10.1017/iop.2017.6

Mandating the Licensing of I-O Psychologists Lacks Merit

2017· article· en· W2729775580 on OpenAlex
Gary P. Latham

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

VenueIndustrial and Organizational Psychology · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicOccupational and Professional Licensing Regulation
Canadian institutionsCanadian Red Cross SocietyUniversity of Toronto
Fundersnot available
KeywordsLicenseSubject (documents)Subject matterDomain (mathematical analysis)Public domainSubject-matter expertPsychologyProfessional psychologyLawEngineering ethicsPolitical scienceLibrary scienceEngineeringPhilosophyComputer scienceMEDLINETheology

Abstract

fetched live from OpenAlex

There are at least four interrelated reasons why the practice of industrial and organizational (I-O) psychology should not require a license that is mandated by the state or province where the I-O psychologist resides. First, there is no subject matter domain unique to the practice of I-O psychology. Second, because there is no subject matter domain unique to I-O psychology, the subject matter is extensively practiced by other unregulated professions. Hence, a law mandating a license to practice I-O psychology, restricted to graduates from a doctoral program in a psychology department, is unlikely to be enforceable. It simply would not stand up to a legal challenge. Third, the espoused benefit of a mandated license, namely, to protect the public, is specious. Finally, a mandated license for the practice of I-O psychology by I-O psychologists could lead to the death of I-O psychology programs. Each of these four concerns is explained below.

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)0.000
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 score0.264
Threshold uncertainty score0.424

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.152
GPT teacher head0.334
Teacher spread0.182 · 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