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Record W4414976091 · doi:10.1111/fcre.70025

The family experience of the Invictus Games through a work family conflict lens: An interpretative phenomenological analysis

2025· article· en· W4414976091 on OpenAlexaffabout
Lauren Stephanie Roberts, Celina H. Shirazipour, Deborah Norris, Heidi Cramm

Bibliographic record

VenueFamily Court Review · 2025
Typearticle
Languageen
FieldPsychology
TopicWorkaholism, burnout, and well-being
Canadian institutionsMount Saint Vincent UniversityQueen's University
Fundersnot available
KeywordsInterpretative phenomenological analysisWork–family conflictInclusion (mineral)Selection (genetic algorithm)Family conflictWork (physics)

Abstract

fetched live from OpenAlex

Abstract The Invictus Games are an international adaptive sports competition for wounded, injured, and/or ill military members and veterans. Essential to the Games are the families and friends of the competitors, who are involved from selection to post‐game. Though families are integral, their experiences are underexplored. Little research to date has focused on the families, and even less research has been conducted using a family science lens. Work–family conflict theory provides a way to examine the stressors and support that underlie the family experience. Using interpretative phenomenological analysis with a work–family conflict lens, this project explores the family members' perspectives of being at the Invictus Games. Participants were past family and friends from Canada ( n = 5), the UK ( n = 1) and Australia ( n = 1). The results display that the Invictus Games can be a very positive experience for both the individual family members as well as the family as a whole. The results challenge the existing idea that participating in sports automatically results in work–family conflict. This project highlights the importance of family inclusion within and throughout military and veteran adaptive sport competitions. As the Invictus Games continue to grow, it is important to be intentional about how families are supported.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.594
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.050
GPT teacher head0.366
Teacher spread0.316 · 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 designNot applicable
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 routes2
Has abstractyes

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