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Record W3127492587 · doi:10.14529/pro-prava200304

THE MAIN APPROACHES TO THE LEGAL REGULATION OF GENDER VERIFICATION IN SPORT: A COMPARATIVE ANALYSIS

2020· article· en· W3127492587 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIssues of Law · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Behavioral Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTransgenderLegislationIndeterminateDiversity (politics)Identity (music)Gender identityPolitical scienceSociologyGender studiesPsychologyLaw

Abstract

fetched live from OpenAlex

Genetically determined differences in height, musculature and a number of other physiological parameters lead to a significant advantage for men over female in kind of sports where the key indicators depend on strength, speed and endurance. All above suggest the need to maintain the practice of holding separate competitions for different genders. However, the practical solution to this issue seems not that obvious, taking into consideration persons with an indeterminate gender identity and transgender person. Analysis of the current legislation of a significant number of States has allowed to identify some approaches:1) ignoring not only the problem of participation in sports activities of persons with an indeterminate gender identity and transgender person, but also the issue of their special legal status in general (Greece, Israel, Ireland, Cyprus, Latvia, etc.); 2) recognizing gender diversity and solving the problems of persons with an indeterminate gender identity and transgender personfrom the position of general provisions of non-discrimination legislation without defining the specifics of sports activities (Belgium, France, Germany, Hungary); 3) recognition of gender diversity but with strive to limit the opportunities for transgender personfor participation in sports in order to ensure fair competition (Brazil); 4) recognition of gender diversity with consequent regulation of sports participation of persons with an indeterminate gender identity and transgender person(Australia, great Britain, Canada, USA). Demonstrating the last example two patterns can be revealed: a possibility of developing different, sometimes diametrically opposite approaches to solving this problem due to the Federal structure of States, and the active involvement of national sports federations in this process

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.694
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.329
GPT teacher head0.389
Teacher spread0.059 · 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