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Record W2925222305 · doi:10.1136/bmjopen-2018-026446

How does returning to work after retirement influence older workers’ health? A scoping review protocol

2019· review· en· W2925222305 on OpenAlexaff
Alexandra Lecours, Marie-Michèle Lord, Alessia Negrini, Rosalie Robitaille

Bibliographic record

VenueBMJ Open · 2019
Typereview
Languageen
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsInstitut de recherche Robert-Sauvé en santé et en sécurité du travailUniversité du Québec à Trois-RivièresUniversité LavalCentre for Interdisciplinary Research in Rehabilitation
Fundersnot available
KeywordsMedicineProtocol (science)GerontologyWork (physics)Public healthMedical educationNursingAlternative medicinePathology

Abstract

fetched live from OpenAlex

Introduction The return to the labour market after retirement is an increasing phenomenon in the North American population. It is the subject of a growing number of studies, whose conclusions seem inconsistent. As returning to working life after retirement is not neutral for individuals, the aim of this article is to present the protocol of a scoping review about its effects on older workers’ health. Methods and analysis The methodology of Arksey and O’Malley, including the recommendations of Levac et al and Daudt et al will be used. The process is composed of seven steps, from the identification of the research question, to the planning of knowledge transfer activities. Documents dealing with retirees returning to work in connection with health will be explored and analysed using the International Classification of Functioning, Disability and Health. Ethics and dissemination Approval has been obtained for the consultation step of the protocol (ethics board of the Centre intégré universitaire en santé et service s sociaux de la Capitale Nationale, project #2019-1753). The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols checklist will be used to support transparency and guide translation of findings. Findings will be shared with various stakeholders involved in older workers’ health. Findings will also be disseminated in workshops, peer-reviewed journals and conferences.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Protocol
About the Canadian research system: no · About a Canadian topic: no
Systematic reviewlow
gptno category
Domain: not available · Genre: Protocol
About the Canadian research system: no · About a Canadian topic: no
Systematic reviewlow
models agreeAgreement compares identical category sets and study designs across arms.

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)0.116
metaresearch head score (Gemma)0.113
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.116
Threshold uncertainty score0.612

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1160.113
Meta-epidemiology (narrow)0.0040.005
Meta-epidemiology (broad)0.0120.012
Bibliometrics0.0150.011
Science and technology studies0.0040.005
Scholarly communication0.0070.007
Open science0.0050.006
Research integrity0.0100.006
Insufficient payload (model declined to judge)0.0620.011

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 head0.479
GPT teacher head0.604
Teacher spread0.125 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreProtocol

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

Citations7
Published2019
Admission routes1
Has abstractyes

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