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Record W4412358025 · doi:10.1080/14927713.2025.2527056

‘Doing things as a family had never been this complicated’: women’s experiences with facilitating and engaging in family leisure during the vaccine mandate period

2025· article· en· W4412358025 on OpenAlexaffvenueabout
Charlene S. Shannon

Bibliographic record

VenueLeisure/Loisir · 2025
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsMandatePeriod (music)SociologyPsychologyPolitical scienceLawAestheticsArt

Abstract

fetched live from OpenAlex

The COVID-19 pandemic intensified the care demands placed on women related to work and family roles. Vaccine mandates introduced a unique restriction in accessing some family leisure spaces (e.g. restaurants and movie theatres). The study sought to capture the experiences of women with and without children while facilitating and participating in family leisure during the vaccine mandate period. Phenomenology guided the study. Semi-structured interviews utilizing a photo elicitation technique were conducted with 13 women in New Brunswick, Canada. The findings revealed that facilitating family leisure was complicated by the women’s need and desire to accommodate unvaccinated family members, their vigilance in assessing the risk and monitoring the safety of vulnerable family members, and the need to manage emotions and behaviours when vigilance waned. Findings suggest that during times of uncertainty or when family safety is at risk, the adjustments to family leisure that are needed in response can influence women’s mental load.

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 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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.009
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.273
Teacher spread0.262 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2025
Admission routes3
Has abstractyes

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