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Record W2302803049 · doi:10.14288/1.0089361

"That time of the month" : the history of PMS research in Vancouver 1983-1997

2009· article· en· W2302803049 on OpenAlexaboutno aff
Allison Sandra Clark

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicInformation Systems Theories and Implementation
Canadian institutionsnot available
Fundersnot available
KeywordsHistory

Abstract

fetched live from OpenAlex

This thesis examines how the women's movement of the 1960s and 1970s influenced scholarship in the social sciences, and how the feminism growing out of this movement affected premenstrual syndrome (PMS) research. Since the 1980s social science paradigms guiding P M S research have begun to consider how biology and the environment mutually influence one another to produce premenstrual changes. The work examined in this thesis uses feminism to challenge traditional scientific approaches to PMS, including claims o f "objectivity," negative evaluations of menstrual changes in women, the claim that women experience natural cycles and men do not, and the belief that the expression of anger contradicts the feminine role. The research herein is based on all psychology research on PMS produced in the greater Vancouver area during the 1980s and 1990s. The knowledge that has been constructed about PMS through social sciences research also contributes to a common narrative about gender. This narrative holds that femininity and masculinity are not only linked to concepts of biological sex but also to concepts of culture that are heavily influenced by power relationships. The research examined here contributes to this narrative by challenging traditional theories about women's nature and by implementing research methods that add to our understanding of the way that cultural values influence research and knowledge production. The image of women as passive victims of "that time of the month" has been called into question by an image o f women that takes society and culture into account when explaining "women's nature."

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)0.000
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 score0.859
Threshold uncertainty score0.684

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.031
GPT teacher head0.251
Teacher spread0.220 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

Explore more

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