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Record W2031382709 · doi:10.1177/1049731514532846

Evidence-Based Practices in North American MSW Curricula

2014· article· en· W2031382709 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueResearch on Social Work Practice · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumMedical educationSocial workFaculty developmentPsychologyWork (physics)Evidence-based practiceBest practicePilot programPedagogyPolitical scienceProfessional developmentMedicineEngineering

Abstract

fetched live from OpenAlex

This study examined the extent to which evidence-based practices (EBPs) are taught in North American Masters of Social Work (MSW) curricula. A web-based survey distributed through the National Association of Deans and Directors and a similar Canadian listserv facilitated exploration of which EBPs are taught, what faculty positions teach them, in what size programs, geographic areas, and other factors, as well as the barriers and implications of doing so. Fifty-eight program deans and directors responded to the survey. While the majority of programs reported teaching at least one EBP and developing EBP skill sets, challenges to curriculum integration were noted. Ideological, definitional, and practical concerns emerge as constraints to teaching EBPs, with MSW program leaders identifying faculty-related barriers as a primary constraining factor. This article presents the study and its implications for academic and practice settings.

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)0.026
metaresearch head score (Gemma)0.180
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient 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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.862
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0260.180
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.016
Science and technology studies0.0050.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.002

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 head0.363
GPT teacher head0.567
Teacher spread0.204 · 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