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Bella Abzug: “Women and the Fate of the Earth”

2023· book-chapter· en· W4408593911 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEconomic and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsBELLAEarth (classical element)ArtAstrobiologyMathematicsPhysicsMathematical physics

Abstract

fetched live from OpenAlex

Bella Abzug (1920–1998) was a lifelong advocate for women’s rights and the environment. An advocate of civil rights and a critic of McCarthyism, she devoted her life to helping others. In 1985 she organized a panel called “What If Women Ruled the World?” for the U.N. Women’s Conference in Nairobi, Kenya. The outcome of the event was that she and other activists founded the Women’s Environment and Development Organization (WEDO) in 1990. Related to this, she gave an address that year titled “Women and the Fate of the Earth” before the World Women’s Congress for a Healthy Planet at the Center for Our Common Future in Vancouver, British Columbia, Canada. The speech stressed the importance of women’s leadership in tackling pressing global concerns such as climate change and other environmental issues. Abzug argued that the women’s rights and environmental justice movements were deeply intertwined. She encouraged women to be the leaders of environmental preservation and contended that to accomplish this, women need to be connected to Earth, define their roles and share their experiences with the environment, and take an international feminist approach.

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)0.000
metaresearch head score (Gemma)0.000
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.045
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0030.004
Open science0.0000.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0120.003

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 head0.262
Teacher spread0.230 · 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
GenreOther

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 routes1
Has abstractyes

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