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Record W6962381908 · doi:10.17605/osf.io/wc6fz

The Opening Period: A Scoping Review of Menstrual Cycle Experiences and Sport and Recreational Physical Activity Participation

2025· other· en· W6962381908 on OpenAlexaff

Bibliographic record

VenueOpen Science Framework · 2025
Typeother
Languageen
FieldEngineering
TopicPhysics and Engineering Research Articles
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRecreationPhysical activityStigma (botany)Sports medicineMenstrual cycleMEDLINE

Abstract

fetched live from OpenAlex

The menstrual cycle is associated with many different physical and/or affective experiences. Despite being prevalent in physically active and sporting populations, menstrual cycle experiences (MCE) do not garner much attention in the locker room or within the sport and exercise medicine field. There is also a great deal of misconception and stigma about MCE, which has contributed to a culture of ignoring and enduring MCE within female sports. To address the existing misconceptions and stigma related to MCE and sport and recreational physical activity participation, it is imperative to identify and understand the breadth of these experiences from a physical, psychological, social, and contextual perspective. Currently, the evidence related to MCE and sport and recreational physical activity participation is dispersed across disciplines and varying study designs, making it challenging to raise awareness, address misconceptions, provide recommendations, or understand practice to research gaps. This scoping review aims to consolidate and examine the current evidence related to MCE and sport and recreational physical activity participation, including performance and injury. Secondary aims are to better understand key concepts, definitions, and methods used to obtain the evidence and identify key knowledge gaps to inform future studies.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.939
Threshold uncertainty score0.273

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 studies0.0000.000
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 head0.022
GPT teacher head0.370
Teacher spread0.348 · 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 designOther design
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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