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Record W2169016556 · doi:10.1177/1049732314545887

After the Storm

2014· article· en· W2169016556 on OpenAlexafffund
Elizabeth Mansfield, Mary Stergiou‐Kita, Bonnie Kirsh, Angela Colantonio

Bibliographic record

VenueQualitative Health Research · 2014
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of TorontoToronto Rehabilitation Institute
FundersCanadian Institutes of Health ResearchToronto Rehabilitation Institute
KeywordsStormPsychologyHistoryMeteorologyGeography

Abstract

fetched live from OpenAlex

In this study, we explored the experiences of 13 individuals who had suffered an electrical injury at work and had subsequently returned to work. In this article, we report on the social, institutional, and relational elements that workers perceived to influence return to work experiences and the provision of workplace accommodations. These elements included (a) worker resources, (b) job characteristics, (c) workplace setting, (d) injury elements, (e) workers' compensation context, and (f) supports and advocacy provided. We conclude that the availability and provision of supportive accommodations are influenced by a multiplicity of interrelated factors including the legitimacy of resulting impairments following electrical injury, institutional structures (e.g., compensation and health care systems), the social relations of work, and broader labor market and economic contexts. Those workers who were vulnerable because of factors such as employment circumstances or labor market conditions were often poorly supported when returning to work following electrical injury.

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)0.037
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.223
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0370.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.003

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 head0.597
GPT teacher head0.708
Teacher spread0.111 · 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; both teacher heads agree on what is shown here.

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

Citations14
Published2014
Admission routes2
Has abstractyes

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