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Record W6997236605

Twenty years after the workplace bullying Act in France: What are the results and what does the future hold?

2024· other· en· W6997236605 on OpenAlexaboutno aff

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2024
Typeother
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsnot available
Fundersnot available
KeywordsSeriousnessObligationMental healthIntervention (counseling)Workplace bullyingIdentity (music)Presentation (obstetrics)Workplace violence
DOInot available

Abstract

fetched live from OpenAlex

In January 2002, just before Belgium and the Province of Québec, France was the first country to adopt a definition of “workplace bullying”, and also to adopt measures to combat this issue. The main benefit of the legislator's intervention was to recognise the pathogenic aspect of certain situations in the workplace that can lead to psychological disorders. This was the first time that the term “mental health” was mentioned in the French Labour Code. The spread of this concept in society has changed the way in which employees view certain situations. The people targeted now spot these unfair situations a little earlier and are less slow to seek help.At the same time, by putting the spotlight on workplace bullying, the French system has begun to take into account other mental and emotional pathologies that were known but too often hidden. There is now an obligation to prevent such suffering, which is grouped together under the term “psychosocial risks” (PSR). Employers must take the necessary measures to ensure the safety and protect the physical and mental health of employees.Unfortunately, about 20 years after, the legal standards punishing workplace bullying has not put an end to this violence in the workplace. While research around the world has highlighted the seriousness of it and its disastrous consequences both for the health and identity of the employees targeted and for the smooth running of organisations, bullying continues even in countries with specific laws.The aim of the presentation is to show that priority should be given to primary prevention measures, but also that all levels of prevention are involved in the fight against bullying in the workplace. The provisions setting out the legal framework for tools to prevent bullying in the workplace will be examined by looking at how they are divided up in the Labour Code between the first part relating to individual employment relations and the fourth part dealing with health and safety in the workplace, but which also concern collective employment relations through the powers of employees’ representatives.Over the last twenty years or so, the law on workplace bullying has evolved, been enriched and has been the subject of a particularly substantial legal regime in France. ILO Convention 190 on violence and harassment at work was ratified in April 2023. This initiative is an opportunity to renew the French approach to preventing bullying in the workplace, to rebuild the contours of the definition through discussions on workplace bullying and gender-based violence, to reconfigure the spaces in which they emerge (work-home commute, accommodation provided by the employer, business travel, digitalisation of work), but also to be all the more vigilant when it comes to domestic violence by raising awareness, taking it into account as part of the assessment of occupational risks and the impact on employees. Employers and workplaces have a role to play upstream.

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)0.008
metaresearch head score (Gemma)0.016
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.155
Threshold uncertainty score0.308

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.003
Science and technology studies0.0050.003
Scholarly communication0.0110.005
Open science0.0020.003
Research integrity0.0090.006
Insufficient payload (model declined to judge)0.0080.002

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 head0.007
GPT teacher head0.240
Teacher spread0.233 · 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
GenreOther

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
Published2024
Admission routes1
Has abstractyes

Explore more

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