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Record W1495109902 · doi:10.1002/ajim.22220

Safety representatives' views on their interaction with workers in a context of unequal power relations: An exploratory qualitative study in Barcelona (Spain)

2013· article· en· W1495109902 on OpenAlexaff
Laia Ollé‐Espluga, María Menéndez-Fuster, Carles Muntaner, Joan Benach, Montse Vergara‐Duarte, María Luisa Vázquez

Bibliographic record

VenueAmerican Journal of Industrial Medicine · 2013
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsPublic Health OntarioUniversity of Toronto
Fundersnot available
KeywordsDismissalMedicineExploratory researchContext (archaeology)Qualitative researchOccupational safety and healthPerspective (graphical)Public relationsSociologyPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: The interaction between workers and safety representatives (SRs), a factor that determines SRs' effectiveness, is an unexplored issue within occupational health research. METHODS: We undertook a qualitative exploratory interpretative-descriptive study by means of semi-structured interviews with SRs from Barcelona (Spain) to analyze the SRs' perspective on the interaction with workers and its determinants RESULTS: SRs' interaction with workers is mainly limited to information processes and to identifying occupational hazards. Prominent factors determining this interaction are associated with the way SRs understand and carry out their role, the firm sector and size, and workers' fear of dismissal, exacerbated by changes in the labor market and the current economic crisis. CONCLUSIONS: Interaction with workers is influenced by a more prevalent technical-legal view of the SRs' role and by unequal power relations between workers and management. Poor interaction with workers might lead to decreasing SRs' effectiveness.

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)0.013
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.012
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0070.009
Scholarly communication0.0040.002
Open science0.0020.004
Research integrity0.0020.002
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 head0.239
GPT teacher head0.531
Teacher spread0.292 · 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 designQualitative
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

Citations18
Published2013
Admission routes1
Has abstractyes

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