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Record W7111573180

Child Welfare Workers with Occupational Stress Injuries: A Content Analysis of Workers' Compensation Legislation in Canada

2023· article· en· W7111573180 on OpenAlexaboutno aff

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2023
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsnot available
Fundersnot available
KeywordsWorkers' compensationPoison controlLegislationDeterrence (psychology)
DOInot available

Abstract

fetched live from OpenAlex

L'objectif de cette analyse de contenu est d'étudier les lois sur l'indemnisation des accidents de travail au Canada, dans le but de déterminer si les mesures législatives en place répondent aux besoins des travailleuses et travailleurs en protection de l'enfance qui subissent des blessures liées au stress occupationnel (BSO). Après une revue de littérature détaillée sur les risques psychologiques inhérents au travail de protection de l'enfance, ainsi qu'une analyse du contenu des lois sur l'indemnisation des accidents de travail au Canada, nous soutenons deux choses : (a) la nature du travail de protection de l'enfance et les facteurs organisationnels exposent les intervenant·es de ce milieu à des risques particuliers de développer des BSO ; (b) quand ces intervenant·es subissent effectivement une blessure psychologique, ils et elles doivent s'orienter dans un système d'indemnisation des accidents de travail qui ne reconnait pas leur blessure comme une blessure occupationnelle et indemnisable. En tant qu'intervenant·es de première ligne responsables de la sécurité des enfants, les travailleurs et travailleuses en protection de l'enfance sont exposé·es à du stress aigu autant qu'à du stress chronique, ce qui leur fait courir un risque psychologique considérable, similaire à celui que subissent les personnes qui figurent actuellement sous la catégorie des « emplois d'exception » (premiers répondants et premières répondantes et autres intervenant·es de la sécurité publique) dans les lois sur l'indemnisation des accidents du travail. Nous recommandons que les agences d'intervention en protection de l'enfance prennent plus de mesures pour atténuer les risques psychologiques de leurs intervenant·es et que parmi les mesures législatives sur l'indemnisation des accidents de travail, les services de protection de l'enfance soient considérés comme un « emploi d'exception » et que leurs intervenant·es reçoivent par conséquent une indemnisation comparable à celle de leurs homologues de cette catégorie d'emploi. Abstract: The purpose of this content analysis was to examine workers' compensation legislation in Canada to determine whether and how well the legislation meets the needs of front-line child welfare workers (CWWs) who have sustained an occupational stress injury (OSI). Following an extensive review of the literature pertaining to the psychological risks inherent in child welfare work and a content analysis of workers' compensation legislation in Canada, we make two arguments: (a) the nature of child welfare work and organizational factors uniquely place CWWs at risk for OSIs, and (b) when psychologically injured, CWWs navigate a workers' compensation system that can fail to recognize their injuries as work-related and compensable. As front-line workers responsible for ensuring the safety of children, CWWs are frequently exposed to both acute and chronic traumatic stress, which places them at significant psychological risk correlative to that of workers currently included in the category of "select workers" (first responders and other public safety personnel) in workers' compensation legislation. We recommend child welfare organizations do more to mitigate the psychological risks of CWWs and that within workers' compensation legislation, CWWs be included in the category of "select workers" and thereby receive compensation on par with their "select worker" counterparts. The nature of child welfare work and organizational factors place CWWs at risk for occupational stress injuries but when injured, they navigate a workers' compensation system that can fail to recognize the injury as work-related and compensable.

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)0.003
metaresearch head score (Gemma)0.014
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.920
Threshold uncertainty score0.579

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.013
Science and technology studies0.0080.003
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.066
GPT teacher head0.338
Teacher spread0.272 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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