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Record W2027102551 · doi:10.1037/0735-7028.36.2.164

Manitoba's Rural and Northern Community-Based Training Program for Psychology Interns and Residents.

2005· article· en· W2027102551 on OpenAlex
Robert D. McIlwraith, Karen G. Dyck, Valerie L. Holms, Torie E. Carlson, Nancy G. Prober

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueProfessional Psychology Research and Practice · 2005
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsTraining (meteorology)PsychologyCommunity collegeMedical educationGerontologyLibrary scienceApplied psychologyPedagogyGeographyMedicineComputer science

Abstract

fetched live from OpenAlex

This article describes a unique internship training experience developed by the Department of Clinical Health Psychology of the Faculty of Medicine of the University of Manitoba. Interns live in and provide services to remote northern communities for half of the internship year and receive supervision from a psychologist in the community, supplemented by telehealth. The department also offers a full-year, postdoctoral rural residency. Ten interns and 4 residents have been trained so far. The community-based generalist training model and responses to the challenges, for both supervisors and trainees, of working in small underserved communities are described.

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)0.010
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.689
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
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 head0.686
GPT teacher head0.672
Teacher spread0.013 · 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