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Record W4412088685 · doi:10.1080/13573322.2025.2528909

Telling the future: uncovering tensions of competitive running and fatherhood through letters from future selves

2025· article· en· W4412088685 on OpenAlexaff
Kerry R. McGannon, Jenny McMahon, Chris Zehntner, Jill Moffatt

Bibliographic record

VenueSport Education and Society · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsLaurentian University
Fundersnot available
KeywordsSociologyGender studiesPsychologyPedagogyEpistemology

Abstract

fetched live from OpenAlex

In the parenthood and recreational sport participation nexus, researchers are exploring fathers’ sport participation to advance understanding of fatherhood in the context of changing masculinities. We aimed to build on this research by using narrative inquiry to explore six competitive runner fathers’ negotiation of their identities brought to life in stories. Thematic narrative analysis resulted in two themes shaping identities, running practices and hybrid masculinities: ‘running vs. sacrifice and responsibility’ and ‘running allows responsibility’. Themes were (re)presented as creative nonfiction (CNF) letters from future selves (i.e. letter from an older wiser self, letter to a friend) to show features of these themes. These findings expand insights into fatherhood, endurance sport and men's embodied identities as runners, related to gender ideologies in family and sport. Using CNF letters opens pedagogical possibilities. Through telling and witnessing, accessible stories are created to show constraining and emancipative aspects of caring and hybrid masculinities in sport, family and society. These findings highlight the need for more research exploring fatherhood in additional sport contexts within an era of involved fatherhood.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.134
Threshold uncertainty score0.651

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.010
GPT teacher head0.282
Teacher spread0.272 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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