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Record W7065854296

Ending the Stigma in Environmental Law - The Sustainability of Menstruation Products

2024· article· en· W7065854296 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationGestational periodLimitingWork (physics)SubpoenaArticular cartilage damage
DOInot available

Abstract

fetched live from OpenAlex

Given the alarming rate of climate change and the resulting negative impact to the environment, there is a dire need to look at non-traditional sources of environmental pollution.This requires going beyond societal norms and encouraging discussions surrounding topics that are typically considered to be taboo. Non-reusable menstruation products result in approximately 250 to 300 pounds of waste per menstruator over the lifetime of an individual. In Canada, approximately 771 000 000 non-reusable products are disposed of annually. One of the greatest challenges associated with the discussion of menstruation in environmental law is the stigma and stereotypes surrounding the topic. This argumentative legal paper aims to bring the discussion of menstruation and its impact on the environment to the forefront of environmental law by discussing the impact of menstruation products and providing policy recommendations to improve the sustainability of menstruation products within Canada.The paper begins by recognizing the importance of the language used in discussing the topic and the concept of period poverty. Research on the sustainability of menstruation products is limited in Canada. This paper examines the available data to further develop and understanding of the environmental impact of menstruation products. This paper then discusses the current international and domestic environmental law framework, specifically focusing on the UN Sustainable Development Goals and Canadian Environmental Protection Act (CEPA) to develop a foundational understanding of the law surrounding the area for the reader and provides recommendations.

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)0.006
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.533
Threshold uncertainty score0.939

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.057
Scholarly communication0.0100.005
Open science0.0010.005
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0040.000

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 head0.012
GPT teacher head0.209
Teacher spread0.197 · 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 designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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