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Record W4381660844 · doi:10.1177/096327190401300206

Themes in Latin American Environmental Ethics: Community, Resistance and Autonomy

2004· article· en· W4381660844 on OpenAlexaff
Thomás Heyd

Bibliographic record

VenueEnvironmental Values · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Ecology, and Ethics
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsOptimal distinctiveness theoryLatin AmericansAutonomyEnvironmental ethicsResistance (ecology)SociologyNormative ethicsEnvironmental health ethicsExtant taxonApplied ethicsPolitical scienceLawEcologySocial psychologyPhilosophyPsychology

Abstract

fetched live from OpenAlex

This paper seeks to answer the question how environmental ethics is approached in Latin America. I begin by discussing a suitable method for interpreting the question of whether there is a culturally based ethics, given that one may focus either on theory or on actually existing moral practices. Next, I consider some of the possible sources of Latin America's distinctiveness, namely its professional, cultural, and economic-historical particularities, followed by a discussion of the practice and theory of environmental ethics extant in the area. I claim that there is a concrete environmental ethics in Latin America, which can be described by the notions of community, resistance and autonomy, and suggest that this concrete ethic may be assessed both from a culture-internal and from a culture-external point of view. I close by proposing that Latin American environmental ethics may provide illuminating models for appropriate ways of acting in hybrid communities made up of human beings and nature.

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)0.010
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.053
Scholarly communication0.0080.005
Open science0.0010.010
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.039
GPT teacher head0.311
Teacher spread0.272 · 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 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

Citations2
Published2004
Admission routes1
Has abstractyes

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