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Record W2745570147

Exploring men's social support in the Hockey Fans in Training weight loss and healthy lifestyle program

2017· article· en· W2745570147 on OpenAlexaboutno aff
Ryan S Scott

Bibliographic record

VenueScholarship@Western (Western University) · 2017
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Wellbeing Research
Canadian institutionsnot available
Fundersnot available
KeywordsTraining (meteorology)Weight lossStrength trainingPsychologyGerontologyApplied psychologyPhysical therapyMedicineObesityGeography
DOInot available

Abstract

fetched live from OpenAlex

Hockey Fans in Training (Hockey FIT) is a gender-sensitized weight loss and healthy lifestyle program for overweight and obese male hockey fans, consisting of a 12-week active phase followed by a 40-week maintenance phase. Following program completion, interviews and focus groups were conducted to explore the social support given and received by the men involved in Hockey FIT. A social cognitive model was used to illustrate how social support arising from group cohesiveness, friendly competition, family, and peers impacted self-esteem (characterized by accepting strengths, gaining a sense of belonging, and gaining a sense of accomplishment), which in turn produced positive health outcomes (heightened awareness, physical improvements, and healthy eating habits). This program is a successful gender-sensitized, hockey-based weight loss and healthy lifestyle program, the first of its kind in Canada. It provides insight into the multiple sources of social support available to men in sports-based intervention programs.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.000
Scholarly communication0.0000.002
Open science0.0010.001
Research integrity0.0000.003
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 head0.430
GPT teacher head0.487
Teacher spread0.057 · 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
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
Published2017
Admission routes1
Has abstractyes

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