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Women and biodiversity: The long journey from users to policy‐makers

2004· article· en· W2123426043 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNatural Resources Forum · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsGovernment of Canada
Fundersnot available
KeywordsConvention on Biological DiversitySummitEarth SummitPosition (finance)Diversity (politics)ConventionSustainable developmentPolitical scienceBusinessBiodiversityEconomic growthPublic administrationPublic relationsGeographyLawEconomicsEcologyFinance

Abstract

fetched live from OpenAlex

Abstract Although there has been a broad acknowledgment that women's local and traditional knowledge is fundamental to guarantee food security and conserve biological diversity, few women are represented at the managerial and decision‐making level of environmental movements and organizations. The United Nations, its agencies and agreements have long promoted the full and effective participation of women in decision‐making processes. So how can commitments contained in international agreements be translated into concrete actions? By using the case of the Convention on Biological Diversity, one of the key agreements adopted at the 1992 Earth Summit in Rio de Janeiro, this article analyses how gender‐equitable initiatives tend to assume an ad hoc character with few governments effectively involving women in their sustainable development strategies. The views expressed in this article are those of the authors and do not necessarily reflect the official position of the United Nations or its subsidiary bodies.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.415
Threshold uncertainty score0.977

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 studies0.0010.000
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 head0.023
GPT teacher head0.293
Teacher spread0.270 · 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