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Record W1977492518 · doi:10.1080/13561820500082800

Effectiveness of pre-licensure interprofessional education and post-licensure collaborative interventions

2005· article· en· W1977492518 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

VenueJournal of Interprofessional Care · 2005
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsUniversity of TorontoInstitute for Clinical Evaluative Sciences
Fundersnot available
KeywordsLicensurePsychological interventionInterprofessional educationMedical educationMedicineEmpirical evidenceNursingPsychologyHealth carePolitical science

Abstract

fetched live from OpenAlex

In this paper we scanned and summarized the empirical research evidence and found that the effects of pre-licensure interprofessional education on patient/client care are unknown. In contrast, for post-licensure collaboration interventions, there is a growing body of evidence suggesting positive effects on the delivery of care. The coverage of this latter evidence, however, is patchy, being especially weak in primary care. In interprofessional education, where policy level interventions have been value driven for the last half century, we have identified a base of evidence for the effectiveness of certain post-licensure collaboration interventions; this evidence is lacking for pre-licensure interprofessional education. If interventions and policies for both pre-licensure interprofessional education and post-licensure collaboration are implemented without accompanying rigorous evaluation research, we will remain mired in this same uncertainty into the future.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.316
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.439
Teacher spread0.427 · 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