MétaCan
Menu
Back to cohort
Record W3166207807 · doi:10.3233/wor-213493

Union, employer and compensation system gaps and failures: Workers with injuries perceptions

2021· article· en· W3166207807 on OpenAlexaffabout
Sherry Mongeau, Nancy Lightfoot, Leigh MacEwan, Tammy Eger

Bibliographic record

VenueWork · 2021
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsLaurentian University
Fundersnot available
KeywordsThematic analysisCompensation (psychology)FeelingGovernment (linguistics)Workers' compensationPerceptionQualitative researchBusinessPublic relationsPsychologySocial psychologyPolitical scienceSociology

Abstract

fetched live from OpenAlex

BACKGROUND: Workers who suffered a workplace injury and submitted a claim with the compensation board in Ontario often faced economic and non-economic costs that provoked depressive feelings, family strain, financial strain, and feelings of diminished self-worth. OBJECTIVE: This qualitative descriptive study aimed to understand the perceived gaps and failures associated with the support systems (e.g., union, compensation and employer) that were in place to assist some male underground workers in Sudbury, Ontario, Canada, who had suffered a workplace injury and had a compensation claim. METHODS: Twelve in-depth, in-person, individual, semi-structured interviews were conducted and data were transcribed verbatim and anonymized at the time of transcription. Data analysis followed Braun and Clarke's guidelines for thematic analysis. RESULTS: Themes that emerged include: unfair and inadequate recognition of an injury; limited communication with stakeholders involved with their claim, including claim adjudicators, challenges when returning to work, and compensation claim system barriers. CONCLUSIONS: Cooperation, collaboration, knowledge transfer, and decreased power imbalances could help to reduce the economic and non-economic strain felt by a worker with an injury. Additionally, a government-funded third-party advocate who knows the medical system, union contracts, the workers' compensation system, and employer policies and practices could act on behalf of an injured worker.

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)0.000
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 score0.016
Threshold uncertainty score0.924

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.036
GPT teacher head0.394
Teacher spread0.359 · 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

Citations4
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueWorkSame topicOccupational Health and Safety ResearchFrench-language works237,207