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Enregistrement W2509505395

External Interventions in Occupational Health and Safety: The Influence of the Workplace Context on the Implementation of Preventive Measures

2006· article· en· W2509505395 sur OpenAlexaff
Geneviève Baril-Gingras, Marie Bellemare, Jean‐Pierre Brun

Notice bibliographique

RevueSSRN Electronic Journal · 2006
Typearticle
Langueen
DomaineHealth Professions
ThématiqueOccupational Health and Safety Research
Établissements canadiensUniversité Laval
Organismes subventionnairesnon disponible
Mots-clésPsychological interventionContext (archaeology)Occupational safety and healthPublic relationsBusinessPsychologyDemographic economicsPolitical scienceMedicineNursingEconomicsGeography
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Various studies have shown that worker health and safety are related, among other things, to the characteristics of the organization to which workers belong, and the social interactions taking place within the organization. Our study centres on understanding what influence the context has on creating positive change, in terms of occupational health and safety prevention, resulting from external interventions. Our theoretical framework is based on three complementary sources: the work of Dawson et al. (1988) for whom the organization’s “capacity” and “willingness” play a role in explaining the scope and limits of a regime based on the principle of self-regulation; the theory of labour market segmentation, where the influence of the structural characteristics of organizations is examined, and the research undertaken by Reynaud (1988, 1991, 1997) which focuses on the relationships between the actors in the workplace. Seven case studies were carried out during the same number of interventions by joint occupational health and safety sector-based association advisors, in six workplaces. These workplaces varied greatly in terms of size, worker qualification levels, gender and ethnic origin, wage levels and staff turnover. The first case study began in September 1999, and the last ended in the spring of 2000. The data consisted of (non participatory) observations carried out during visits the advisors made at the workplaces (43), semi-structured interviews (50) and telephone conversations (8) with the advisors’ contacts and with those actors in a position to influence the intervention and the outcome of the proposed changes. Twenty-six interviews and 41 telephone conversations with the advisors were also analyzed, as were ten other interviews and height telephone conversations for validation purposes. In total, 186 data sources were thus analyzed. Each proposed change was recorded and its outcome documented (accepted or not, implemented or not).Observations support the hypothesis that the structural characteristics of the workplace influence the degree to which prevention activities had been developed at the outset of the intervention, these activities being more developed in cases where the structural characteristics of the workplace match the characteristics of the primary segment of the labour market. However, this relation is not linear or determinative. Furthermore, similarity with the characteristics of the primary segment does not necessarily “guarantee” a high level of organization in prevention. Sustained cooperation between the workplace and the sector-based associations, in setting up an Occupational Health and Safety Joint Committee and establishing a structured set of prevention activities, also helped to further develop these activities. This external support appears to have a moderating effect on the trend defined by the structural characteristics. Observations suggest that prevention activities can be classified in accordance with three large structural stages of prevention. Moving from one level to the next involves a significant qualitative leap in prevention. The outcome of the change proposals was partly contingent on the magnitude of the gap between the activities already in place (and the assets available to sustain them), on the one hand, and the capacities required to put the new activities in place, on the other. The spontaneous structuring of prevention does not follow a logic based on the preventive efficiency of each measure taken, but rather that of the assets that are required. This stresses the relevance of external advice and statutory provisions aiming to organize prevention and ensure worker representation. In order to understand the context in which the interventions take place, our study also examines how, within the framework in the context defined by the structural characteristics of the workplace, the actors regulate the risks associated with the workplace, through their own actions and interactions. The observed OHS regulatory modes can be compared with each other and situated in a continuum where, at one end, they can be qualified as being “unorganized” (due to the “exit” associated with high employee turnover), and at the other end, “organized” with workers forming a collective body allowing for a encounter between employer and employees on the subject of occupational health and safety. This encounter can either be informal, between employees and supervisors, or formal, through a joint health and safety committee, negotiations between a trade union and an employer, etc. This interaction, however, does not guarantee action in the field of prevention, although the formation of a collective body by workers does seem to be an essential step. Results point to the contribution of external advice in structuring the prevention measures. Government intervention is also seen as necessary in order to ensure the organization of prevention and workers representation.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,010
score de la tête « metaresearch » (Gemma)0,038
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,010
Score d'incertitude au seuil0,053

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0100,038
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,003
Communication savante0,0030,001
Science ouverte0,0010,005
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,047
Tête enseignante GPT0,453
Écart entre enseignants0,406 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2006
Routes d'admission1
Résumé présentoui

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