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Record W1902599957 · doi:10.18060/209

Clinical Social Workers: Advocates for Social Justice

2009· article· en· W1902599957 on OpenAlexaff
Anne Marie McLaughlin

Bibliographic record

VenueAdvances in Social Work · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSocial workSocial justiceSocial philosophyMental healthSociologyClinical social workPublic relationsSocial positionEconomic JusticeSocial changeCriminologySocial psychologyPolitical scienceSocial relationPsychologyLawPsychiatry

Abstract

fetched live from OpenAlex

Advocacy activities provide an avenue for all social workers to connect their practice with the profession’s aim of social justice. In fact, it is this social justice connection to the advocacy role that may distinguish social work from other professions. Yet advocacy remains a controversial practice for many clinical social workers. This study reports on one aspect of a larger study (McLaughlin, 2006), which examined how clinical social workers in mental health conceptualized social justice as part of their work. The data revealed a strong relationship exists between clinical social work practice, social justice and advocacy. The concept of advocacy that emerged from the data was multi-dimensional and included strategies that were instrumental, educational, and practical.

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)0.027
metaresearch head score (Gemma)0.058
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.143

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.058
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0200.030
Scholarly communication0.0140.013
Open science0.0020.018
Research integrity0.0130.019
Insufficient payload (model declined to judge)0.0080.002

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 head0.075
GPT teacher head0.496
Teacher spread0.421 · 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 designNot applicable
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

Citations60
Published2009
Admission routes1
Has abstractyes

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