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Record W2943868135 · doi:10.1017/idm.2019.1

Raising Awareness and Appreciation: Employee Perspectives on Disability Management in Swiss Companies

2019· article· en· W2943868135 on OpenAlexaff
Thomas Geisen, Benedikt Hassler, Shannon L. Wagner, Nicholas Buys, Christine Randall, Henry G. Harder, Alex Fraess‐Phillips, Ignatius Yu, Caroline Howe, Liz Scott

Bibliographic record

VenueInternational Journal of Disability Management · 2019
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsAbsenteeismJob satisfactionMental healthPrivate sectorPublic sectorWork (physics)Public relationsBusinessPsychologyNursingMedicinePolitical scienceSocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

Abstract In Western countries, an increasing number of companies has difficulties with recruiting and retaining employees, along with growing employer responsibilities in the workplace. Therefore, companies’ interest in disability management programs has increased. This article examines employee perspectives of disability management and how it is related to job satisfaction, physical and mental health, workplace morale and sickness absence. Employees from seven Swiss companies ( N =482), from the private and public sector, participated in either an online and paper-and-pencil survey for this present study. The survey asked employees to report their views of how disability management is related to job satisfaction, mental health, physical health, workplace morale and absenteeism. The Swiss employees participating in the study knew about disability management and related programs, which are implemented in their company. They valued them as moderately helpful for a variety of factors related to workplace wellbeing, and regarded the programs generally as high quality and wanted them to continue, because they contribute to job satisfaction, mental health, physical health, workplace morale and reduced sickness absence. However, employees also saw more value in disability prevention (DP) and stay at work (SAW) programs than in return to work (RTW) programs. Male employees and those working for public organisations saw more benefit in disability management programs than female employees and those working in the private sector.

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)0.002
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 score0.026
Threshold uncertainty score0.601

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.086
GPT teacher head0.480
Teacher spread0.394 · 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

Citations5
Published2019
Admission routes1
Has abstractyes

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