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Record W4394821298 · doi:10.5565/rev/indialogs.277

Vandana Shiva: Ecofeminista y pionera del posthumanismo ético

2024· article· es· W4394821298 on OpenAlexaff
Carolina Núñez-Puente

Bibliographic record

VenueIndialogs · 2024
Typearticle
Languagees
FieldEnvironmental Science
TopicEnvironmental and Cultural Studies in Latin America and Beyond
Canadian institutionsMonsanto (Canada)
Fundersnot available
KeywordsHumanitiesHuman beingEcofeminismPhilosophyArtEnvironmental ethicsHumanityTheology

Abstract

fetched live from OpenAlex

Vandana Shiva se encuentra entre las ecofeministas más conocidas dentro y fuera del mundo académico. Este artículo examinará las propuestas de algunas de sus obras—Staying Alive: Women, Ecology, and Development (1988), Ecofeminism (coescrito con Maria Mies, 1993), Earth Democracy: Justice, Sustainability and Peace (2005) y Terra Viva: My Life in a Biodiversity of Movements (2022)—junto con los principios del posthumanismo ético. En cuanto al último, me apoyaré en el trabajo de Stacy Alaimo, Karen Barad, Jane Bennet, Rosi Braidotti y Donna Haraway. Mi análisis mostrará que las ideas de Shiva anticipan y dialogan con las de las autoras mencionadas. Por tanto, evaluaré cuestiones tales como: la crítica a la jerarquía humano/no humano, especialmente entre mujeres privilegiadas y no privilegiadas; la sabiduría ecológica de las mujeres tribales; el llamado mundo natural como ejemplo de relaciones éticas; la importancia de la cooperación, el cuidado y el amor para sostener la vida; la capacidad agente y la subjetividad de lo no humano; y la interconexión entre lo humano y lo no humano. En definitiva, el artículo espera demostrar que la obra de Shiva prevé el posthumanismo ético.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.621
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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0160.011

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 head0.008
GPT teacher head0.236
Teacher spread0.228 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2024
Admission routes1
Has abstractyes

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