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Record W1985847122 · doi:10.1080/15332560903212595

An Examination of Canadian Social Work Program Curriculum and The Addiction Core Competencies

2009· article· en· W1985847122 on OpenAlexaffabout
Greg Graves, Rick Csiernik

Bibliographic record

VenueJournal of Social Work Practice in the Addictions · 2009
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsThe King's UniversityWestern UniversityCanadian Centre on Substance Use and Addiction
Fundersnot available
KeywordsAddictionSocial workCore competencyCurriculumMedical educationPsychologySubstance abuseWork (physics)PedagogyMedicinePolitical sciencePsychiatryManagementEngineering

Abstract

fetched live from OpenAlex

The Canadian Centre on Substance Abuse, in conjunction with key Canadian stakeholders, has developed a guideline outlining 18 core competencies for those working with clients with addiction issues. The curriculum of Canada's 35 faculties and schools of social work were examined using the core competencies to determine the extent of addiction education received by undergraduate and graduate social work students. All social work addiction courses were elective offerings, although faculty teaching in this area did express a desire to shift the focus of addiction studies away from elective to core course offerings. The majority of competency-based education at the faculties and schools of social work is taught at a generalist level, and graduate schools of social work teach fewer core addiction competencies than undergraduate. Although competency-based education is generally viewed positively and adopted at faculties and schools of social work, only one third of addiction courses matched with the 18 core competencies developed through the auspices of the Canadian Centre on Substance Abuse.

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 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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.545
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.032
GPT teacher head0.420
Teacher spread0.388 · 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; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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

Citations20
Published2009
Admission routes2
Has abstractyes

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