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Record W1965776202 · doi:10.1300/j198v05n01_01

Creating Disability Inclusion Within Canadian Schools of Social Work

2006· article· en· W1965776202 on OpenAlex
Peter A. Dunn, Roy Hanes, Susan Hardie, Judy E. MacDonald

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

VenueJournal of Social Work in Disability & Rehabilitation · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsDalhousie UniversityCarleton UniversityWilfrid Laurier University
Fundersnot available
KeywordsGraduation (instrument)Inclusion (mineral)Social workCurriculumWork (physics)Medical educationPedagogyPsychologyPolitical scienceMedicineSocial psychologyEngineering

Abstract

fetched live from OpenAlex

Abstract This comprehensive research study examined how schools of social work in Canada have responded to disability issues. The study focused upon specific policies and practices ofthe Canadian schools of social work which have been developed to create a more inclusive environment for students, staff, and faculty members with disabilities and to prepare students for practice in dealing with individuals who are disabled. A ten page survey consisting of closed and opened-ended questions was sent to the deans and directors of the thirty-five schools of social work in Canada. This study found that although there have been significant changes in these schools over the last ten years, there are many barriers to disability inclusion from recruitment and admissions; accommodations; retention, graduation, and employment; curriculum; hiring faculty and staff with disabilities; and university relations/resources. It concludes with recommendations for schools of social work.

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)0.008
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.003
Science and technology studies0.0030.004
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 head0.013
GPT teacher head0.315
Teacher spread0.302 · 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