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Record W4378173008 · doi:10.2196/46114

Teleworking to Support Accommodation, Inclusion, and Health of Aging Workers: Protocol for a Study to Design, Validate, and Test a Reflective Application Guide

2023· article· en· W4378173008 on OpenAlexafffundvenue
Alexandra Lecours, Quan Nha Hong, Joanie Maclure, Roxanne Bédard-Mercier, Claude Vincent, Normand Boucher, Marie-Michèle Lord

Bibliographic record

VenueJMIR Research Protocols · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsUniversité LavalUniversité du Québec à Trois-RivièresUniversité de MontréalCentre for Interdisciplinary Research in Rehabilitation
FundersRéseau québécois de recherche sur le vieillissement
KeywordsInclusion (mineral)Context (archaeology)AccommodationWork (physics)Population ageingProtocol (science)PopulationPsychologyNursingApplied psychologyMedicineEngineeringSocial psychologyEnvironmental health

Abstract

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BACKGROUND: Aging workers constitute a growing population in many countries and form an indispensable and qualified resource, especially in the context of the labor shortage. Despite work's many benefits for individuals, organizations, and societies, it also presents several risks and challenges that may lead to occupational injuries. Thus, rehabilitation professionals and managers working with this emerging and unique clientele during their return to work after an absence often lack the tools and skills to support them, especially in the changing world of work that includes the rise of telework. Indeed, as an increasingly present work arrangement, telework has the potential to be used as an accommodation modality that can facilitate inclusion and healthy participation in the workplace. However, the implications of this topic for aging workers require study. OBJECTIVE: This paper presents the protocol of a study that aims to develop a reflective telework application guide to support the accommodation, inclusion, and health of aging workers after an absence from work. Specifically, this study will (1) explore the experience of aging workers, managers, and rehabilitation professionals regarding telework and its impact on accommodation, inclusion, and health; (2) use a validated logic model to design a reflective application guide; and (3) test and evaluate the guide. METHODS: Following a 3-phase developmental research design, individual interviews with aging teleworkers, managers, and rehabilitation professionals will enable the collection of qualitative data to be used in generating a logic model of levers and good practices, leading to the creation of a reflective application guide. Validation of this guide by workers and managers to measure its acceptability and applicability in daily life will precede its implementation. RESULTS: Data collection began in spring 2023 and initial results are expected in fall 2023. This study aims to generate a concrete tool-namely, the reflective telework application guide-that rehabilitation professionals could use to support managers and aging workers during their return to work through the healthy use of telework. All phases of the study include conducting dissemination activities to share the results of the project and increase its sustainability potential (ie, publication through social networks, podcasts, conferences, and scientific publications). CONCLUSIONS: As the first of its kind, this project aims to produce innovative impacts at several levels, including practical, scientific, and societal impacts. In addition, the results will provide healthy solutions to the labor shortage in a changing world of work, where digital and teleworking are becoming increasingly important. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/46114.

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)0.016
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.468
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.449
GPT teacher head0.641
Teacher spread0.192 · 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.

Study designObservational
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

Citations1
Published2023
Admission routes3
Has abstractyes

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