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Record W2069815367 · doi:10.1080/02615470701379974

Disability, Professional Unsuitability and the Profession of Social Work: A Case Study

2008· article· en· W2069815367 on OpenAlexaff
Ailsa M. Watkinson, Darlene Chalmers

Bibliographic record

VenueSocial Work Education · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsSocial workSociologyEngineering ethicsPsychologyPolitical scienceEngineeringLaw

Abstract

fetched live from OpenAlex

The evaluation of student conduct and suitability during professional training is critical to ensuring that the profession is promoting its values, protecting the public, clients and practitioners, and providing good and valuable service. However, a factor such as the presence of a student's mental disability can present significant challenges in this regard. This paper considers the challenges related to students who may be unsuitable for the profession of social work because of a mental disability. In addition we reference human rights laws and their interpretation as they relate to the rights of students with disabilities and consider the application of human rights principles to faculties of social work given their duty to accommodate students with disabilities. We use a case study that involves a practicum student, his placement, his disability, and the breach of ethics that led to him failing the practicum. We illustrate the connection between his disability, the breach of ethics and human rights obligations that apply in this case as well as consider possible resolutions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0270.012
Scholarly communication0.0050.004
Open science0.0030.009
Research integrity0.0090.006
Insufficient payload (model declined to judge)0.0040.001

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 head0.054
GPT teacher head0.424
Teacher spread0.370 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2008
Admission routes1
Has abstractyes

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