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Record W4391346867 · doi:10.3233/epl-239013

Women and the Marine Environment in International Law

2024· article· en· W4391346867 on OpenAlexaff
Sara L. Seck

Bibliographic record

VenueEnvironmental Policy and Law · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsDalhousie University
Fundersnot available
KeywordsOverconsumptionVulnerability (computing)Environmental lawAction (physics)International lawEmpowermentEnvironmental ethicsHuman rightsInclusion (mineral)Political scienceNarrativeSociologyLawGender studiesEconomics

Abstract

fetched live from OpenAlex

International environmental law-making (IEL) now increasingly highlights the importance of ensuring that women are enabled to play a key role in environmental management and decision-making at all scales, including in relation to the marine environment. This article examines narratives of women in international environmental law, with a focus on the marine environment and human rights intersections. This study reveals that there is a tendency to treat women both as victims in need of saving from ecological devastation, and as saviours whose empowerment will save the world. Recent developments at the intersection of human rights and the environment point clearly to the necessity of embracing an intersectional approach. Beyond this, it is necessary to reflect on what is meant by ‘women’ in international law to answer the question of whether greater inclusion of women in legal processes will make a difference to solving global and local ecological challenges. Ultimately, the article argues that meaningful action will not happen until affluent and powerful men and women learn how to embody the idea of woman themselves, rather than placing the burden to save the world on those whose vulnerability is worsened if not created by affluent overconsumption.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.898
Threshold uncertainty score1.000

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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.251
Teacher spread0.244 · 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.

Study designTheoretical or conceptual
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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