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Record W3112169073 · doi:10.1093/bjsw/bcz147

Institutional Barriers to Healthy Workplace Environments: From the Voices of Social Workers Experiencing Compassion Fatigue

2019· article· en· W3112169073 on OpenAlex

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

VenueThe British Journal of Social Work · 2019
Typearticle
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsUniversity of AlbertaUniversity of Calgary
Fundersnot available
KeywordsHealth carePsychologyFront linePublic relationsCompassion fatigueNon profitBusinessCompassionJob satisfactionSocial workWork (physics)NursingPolitical scienceSocial psychologyMedicineBurnout

Abstract

fetched live from OpenAlex

Abstract The good health and well-being of health care professionals is increasingly an important issue and one that is under threat due to dominant neo-liberal economic factors. These factors influence health care service delivery which in turn focuses less on employee workplace satisfaction and more on profit-making corporate business models. More work with less pay/benefits, less time to work with clients and the focus on outcomes has created workplaces in which employees are experiencing negative organisational cultures that, in turn, affects their health and well-being. One negative effect is compassion fatigue (CF). In Canada, a national inter-disciplinary research project was conducted for health professionals (n = 52) who self-identified as experiencing CF. From this research, an analysis of a sub-sample of the data of fourteen social workers was conducted identifying specific institutional factors that participants described as creating conditions for their CF. These factors are presented including: (i) cost-effective services within time constraints and political climates; (ii) erosion of relationship building; (iii) lack of communication between managers and front line workers; (iv) cutbacks in services; (v) climate of fear; and (vi) outcome measurement requirements. These concerns related to workplace environments and the health and well-being of health professionals are discussed.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.197
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0080.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.023
GPT teacher head0.338
Teacher spread0.315 · 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