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Record W4388026118 · doi:10.2991/978-2-38476-126-5_148

Research on the Menstrual Culture in Canada from the Symbolism and Feminism Perspectives

2023· book-chapter· en· W4388026118 on OpenAlexaffabout
Danyang Zhao

Bibliographic record

VenueAdvances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research · 2023
Typebook-chapter
Languageen
FieldMedicine
TopicMenstrual Health and Disorders
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsFeminismGender studiesSociologyAnthropologyArtHistory

Abstract

fetched live from OpenAlex

Menstruation is a recent topic around the influence of this particular period that most biological females need to experience in more than half of life.Although there are many studies of menstruation in biology and medicine, there are few studies based on the perspective of sociology, especially in Canada.As a developed country, Canada has already introduced laws about menstruation, but there are still social issues around menstruation for females.This study discusses the sociological influence of menstruation on feminism and symbolism.This study reviews recent research on the field of menstrual culture in sociology and mainly focuses on sociological studies in Canada.The stigma of menstruation deteriorates the mystery of menstruation and causes feelings of shame and fear among biological females.Some females do not know how they should behave during menstruation, and some males are biased toward menstruation because of insufficient education on it.Society's labels for menstruation are often negative and treat menstruation as a tool for human breeding, which leads females to selfobjectify themselves.Canada has introduced the Excise Tax Act; nevertheless, the sanitation supplies for menstruation are still expensive, causing period poverty.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.082
Threshold uncertainty score0.598

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.008
Science and technology studies0.0140.009
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.147
GPT teacher head0.489
Teacher spread0.343 · 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 source (direct Gemma or distilled Codex), 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
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueAdvances in Social Science, Education and Humanities Research/Advances in social science, education and humanities researchSame topicMenstrual Health and DisordersFrench-language works237,207