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Record W4327790592 · doi:10.1079/searchrxiv.2023.00154

International Credential Equivalency (Business Source Complete).

2023· article· en· W4327790592 on OpenAlexaffabout
Mark R. Lafave, Yasaman Ammanejad, Breda Eubank, Ulkar Mammadova

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsMount Royal University
Fundersnot available
KeywordsCredentialImmigrationContext (archaeology)WorkforceHealth carePublic relationsHealthcare systemHealth professionalsPolitical scienceKnowledge managementMedical educationEngineering ethicsMedicineComputer scienceEngineering

Abstract

fetched live from OpenAlex

Abstract Covell et al (9) completed a scoping review with the primary goal of integrating internationally educated health professionals into the Canadian healthcare system. The goal of this review was to synthesize all the literature related to policies that impact immigration into Canada. The goals of our scoping review are similar to those identified by Covell et al with the following distinctions: The most significant goal will be to determine the system(s) that is/are employed to establish international equivalency of a professional with the ultimate goal of immigration and professional practice in a country that is different than their original domestic education.(9) Another significant difference of our scoping review will be to include a wider definition beyond the healthcare workforce since equivalency systems from other non-healthcare related professions may be applicable across multiple disciplines. Finally, the last difference is that the literature will not be limited to Canadian systems, even though there is a focus on the Canadian context.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.053
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.399
Threshold uncertainty score0.570

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.053
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0140.019
Science and technology studies0.0020.001
Scholarly communication0.0060.005
Open science0.0030.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.6010.243

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 head0.118
GPT teacher head0.470
Teacher spread0.352 · 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

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes2
Has abstractyes

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