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Record W2242926663 · doi:10.3233/wor-2011-1271

Devising work schedules for a collective: Favouring intergenerational collaboration among counsellors in a shelter for female victims of conjugal violence

2011· article· en· W2242926663 on OpenAlexafffundabout
Céline Chatigny

Bibliographic record

VenueWork · 2011
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversité du Québec à Montréal
FundersUniversité du Québec à Montréal
KeywordsOutreachWork (physics)PsychologyScheduleMedical educationEveningSocial workCitizen journalismNursingMedicinePolitical scienceEngineeringManagement

Abstract

fetched live from OpenAlex

OBJECTIVE: The work activity of counsellors in shelters for female victims of conjugal violence is explored. The consortium of shelters requested the study because of complaints of worker stress, difficulties in management and high employee turnover. METHODS: This qualitative and participatory community study involved a team of specialists in ergonomics and social work from the Centre de recherche interdisciplinaire sur la biologie, la santé, la sociélté et l'environnement (CINBIOSE), brought together by the Community Outreach Service of Université du Québec à Montréal (UQAM). Presented here are the study findings pertaining to training. Twenty-two semi-structured interviews and 80 hours of observation of work and training were conducted with counsellors from two contrasting shelters. RESULTS: Observations revealed an intense collaborative activity involving communication by many means. Nonetheless, young counsellors interviewed complained of having few opportunities to develop their counselling skills because they were isolated on evening, night and weekend shifts. In collaboration with the ergonomists, one shelter experimented with new ways of devising the work schedule to favour learning and training. CONCLUSION: By transforming the training mechanism, job status and work schedules, the shelter made the conditions more conducive to the development of counsellors' skills and health, while eliminating turnover for at least the two following years.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.401

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.127
GPT teacher head0.441
Teacher spread0.314 · 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 teacher head, 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

Citations3
Published2011
Admission routes3
Has abstractyes

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