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Record W4318991090 · doi:10.18573/mas.141

Mixed Martial Arts As a Way of Life: Going Beyond The Black Belt And Engaging in Life-Long Learning

2023· article· en· W4318991090 on OpenAlexaff
Shayna A. Rusticus, Amanda Rose Dumoulin

Bibliographic record

VenueMartial Arts Studies · 2023
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsKwantlen Polytechnic UniversityUniversity of British Columbia
Fundersnot available
KeywordsMartial artsDeci-PsychologyMeaning (existential)Social psychologyPersonal developmentQualitative researchApplied psychologyPedagogyVisual artsSociologyArtPsychotherapistSocial sciencePolitical science

Abstract

fetched live from OpenAlex

In this qualitative study, we explored the experiences of 10 adults who trained in mixed martial arts (MMA) to understand the meaning they ascribed to attaining the black belt and their martial arts journal overall. Using a conventional content analysis, four themes were derived from the data: importance of the black belt, benefits of training in MMA, dealing with injuries, and being part of the MMA community. Training in MMA was very positive, with both individual benefits (improved physical and mental health, skill development, and personal growth) and interpersonal benefits (relationship development and sense of community) being reported. Self-determination theory (Ryan & Deci, 2000) and goal setting theory (Locke & Latham, 2002) are used to discuss participants’ motivation in their pursuit of the black belt and continued training.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.726

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.060
GPT teacher head0.319
Teacher spread0.259 · 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 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

Citations5
Published2023
Admission routes1
Has abstractyes

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