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Record W7024071819

Prévention de la violence entre membres d’une même organisation de travail : évaluation d’une intervention participative

2010· article· fr· W7024071819 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldComputer Science
TopicGenerative Adversarial Networks and Image Synthesis
Canadian institutionsnot available
Fundersnot available
KeywordsServantGender relationsIntervention (counseling)Poison control
DOInot available

Abstract

fetched live from OpenAlex

Click here for the English version of this report La violence au travail, particulièrement entre des membres d'une même organisation, a des répercussions sur la santé et la sécurité du personnel. Bien que le Québec se soit doté d'un cadre législatif pour contrer ce phénomène, on connaît peu l'utilité et l'efficacité des moyens servant à le prévenir. Les auteurs ont mené une recherche auprès d'agents de services correctionnels de trois établissements de détention, chez qui les chercheurs avaient préalablement démontré que des facteurs organisationnels étaient associés à cette problématique. Cette recherche reposait sur une démarche participative qu’ils ont systématiquement évaluée à l'aide d'un modèle reconnu. Il s'agissait, en fait, d'une intervention fondée sur la détermination, par les employés et leurs supérieurs, des contraintes organisationnelles qui sont à l'origine de la violence et des solutions visant à l'enrayer et la prévenir. La participation des travailleurs au processus a contribué à instaurer une nouvelle dynamique. Les auteurs ont noté un changement d’attitude chez plusieurs des acteurs touchés directement ou moins directement par la recherche, notamment au sein des groupes de soutien à l’intervention, du groupe de coordination et du comité de suivi, lesquels étaient chargés, notamment, d’aborder la question des problèmes liés aux rapports sociaux perturbés. Ils soulignent l’importance marquée du paritarisme et de la participation qui ont été les pierres angulaires de l’ensemble du processus d’intervention mis en place. Plus globalement, l’étude a rendu possible l’identification de pratiques organisationnelles favorisant la réduction de la violence entre membres d’une même organisation. Abstract Violence in the workplace, particularly between members of the same organization, has impacts on the personnel’s health and safety. While Québec has instituted a legislative framework for addressing this phenomenon, the usefulness and effectiveness of the means used for its prevention are not well known. The authors conducted a study with correctional service agents in three detention institutions, where the researchers had previously shown that organizational factors were associated with this issue. This study was based on a participatory approach that they systematically evaluated using a well-known model. In fact, it involved an intervention that was based on the employees and their superiors determining the organizational constraints that cause the violence and the solutions for stopping and preventing it. The workers’ participation in the process helped establish a new dynamic. The authors noted a change in attitude in several of the actors who were directly or less directly affected by the study, mainly in the intervention support groups, the coordination group and the follow-up committee, which had the main responsibility of dealing with the question of the problems related to disrupted social relationships. The authors emphasize the significance of labour/management representation and participation, which were the cornerstones of the entire intervention process. More generally, the study identified organizational practices that promote a reduction in violence between members of the same organization.

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)0.029
metaresearch head score (Gemma)0.043
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: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.151

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.043
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0020.002
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0030.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0150.001

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 head0.020
GPT teacher head0.281
Teacher spread0.262 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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Same topicGenerative Adversarial Networks and Image SynthesisFrench-language works237,207