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Record W1992345003 · doi:10.1177/0020872805057087

Violence in the social work workplace

2005· article· fr· W1992345003 on OpenAlexaffabout
Grant Macdonald, Frank Sirotich

Bibliographic record

VenueInternational Social Work · 2005
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsUniversity of TorontoYork University
Fundersnot available
KeywordsWorkplace violenceHumanitiesSociologyPoison controlSocial psychologyPsychologySuicide preventionArtMedicine

Abstract

fetched live from OpenAlex

The purpose of this study was to obtain Canadian data on the experiences and attitudes of social workers working with violent or potentially violent clients. The article explores social workers' personal experience of clients' violence and their assessment of clients' violence as a safety concern in their workplace. French Cette é tude vise à commencer à obtenir des donné es canadiennes sur les expé riences et les attitudes des travailleurs sociaux qui oeuvrent auprè s d'une clientè le violente ou potentiellement violente. L'article explore l'expé rience personnelle de travailleurs sociaux avec la violence de leurs clients ainsi que leur é valuation du potentiel de danger face à des clients violents dans leur lieu de travail. Spanish Este estudio inicia la obtención de datos acerca de las experiencias y actitudes de los trabajadores sociales que en Canadá trabajan con clientes real o potencialmente violentos. El artículo explora la experiencia personal del trabajador social y su valoración de en qué medida la violencia del cliente afecta su sentido de seguridad en el trabajo.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.446
Threshold uncertainty score0.887

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.005
Scholarly communication0.0040.001
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.036
GPT teacher head0.383
Teacher spread0.347 · 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 designObservational
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

Citations88
Published2005
Admission routes2
Has abstractyes

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