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Record W4286249424 · doi:10.1016/j.wss.2022.100096

Managers’ views about employed carers’ well-being: A qualitative study in Quebec

2022· article· en· W4286249424 on OpenAlexaffabout
Sarah Nogues, Diane‐Gabrielle Tremblay

Bibliographic record

VenueWellbeing Space and Society · 2022
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversité TÉLUQ
Fundersnot available
KeywordsPsychologyPublic relationsRespite careQualitative researchFlourishingWell-beingSocial psychologyNursingSociologyMedicinePolitical science

Abstract

fetched live from OpenAlex

While most carers are employed, many struggle to keep their job or work fewer hours than they would like, and work-care conflict stands a major antecedent to their well-being. While it is recognized that supervisor support and carer-friendly workplace policies (CFWPs) are crucial to carer well-being, there is a dearth of research regarding managers’ views about carer well-being and accommodation. Drawing on the competing demands and the expansion hypotheses, as well as the distinction between hedonic and eudaimonic well-being, this paper analyzes the discourse of 8 organization managers sharing their experiences in accommodating carer employees. The semi-directive interviews were led between April 2020 and August 2021 and last a means of 1 hour 10 minutes. Our qualitative content analysis revealed that while adopting a human approach was a prerequisite in every situation amongst our group of managers, implementing solutions likely to preserve or enhance employees’ hedonic and eudaimonic well-being required anticipation and transparency from the part of carers. We identified that an either virtuous or negative spiral took place which mostly depended on the employee's attitude and performance outcomes. The question of a “eudaimonic” type of support from managers is discussed in practical implications. Workplaces should provide visible and accessible referrals and information for employees with caring responsibilities. It is equally important for them to easily access resources (e.g. respite, peer support) outside the workplace.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.045
GPT teacher head0.408
Teacher spread0.363 · 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 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

Citations7
Published2022
Admission routes2
Has abstractyes

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