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Record W2130070849

Education for Local and Global Ecological Responsibility: Arne Næss’s CrossCultural, Ecophilosophy Approach

2000· article· en· W2130070849 on OpenAlexvenueno aff
Alan Drengson

Bibliographic record

VenueCanadian journal of environmental education · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Ecology, and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyHarmony with natureHarmony (color)GrassrootsHumanitiesDeep ecologyPoliticsEnvironmental educationEnvironmental ethicsPhilosophyEcologyPolitical scienceArtLaw
DOInot available

Abstract

fetched live from OpenAlex

This paper explains Arne Naess’s approach to understanding contemporary grassroots movements, and especially the long range deep ecology movement. Some critics reject what they call “deep ecology” and criticize “deep ecologists,” but in so doing they confuse Naess’s personal ultimate philosophy—which he calls Ecosophy T—with his description of global socio-political movements (Glasser, 1996, 1997). Naess’s interdisciplinary, crosscultural approach involves a four level framework for discourse that is fruitful for local and global environmental study. It helps us clarify how local actions and global responsibility can become a part of all our relationships. This approach stresses respect and appreciation for all forms of diversity: personal, cultural and ecological. Using it we can help students and ourselves design personal ecosophies as living philosophies of ecological harmony. Resume Ce document explique l’approche d’Arne Naess pour comprendre les mouvements communautaires contemporains, et notamment le mouvement d’ecologisme radical a large spectre. Certains critiques rejettent ce qu’ils nomment l’« ecologisme radical » et s’opposent aux « ecologistes radicaux », mais confondent la philosophie absolue et personnelle de Naess, l’ecosophie T, ainsi que sa description des mouvements sociopolitiques mondiaux. L’approche interdisciplinaire et interculturelle de Naess nous donne un cadre de quatre niveaux en vue d’un discours fructueux pour l’etude environnementale locale et mondiale. Elle nous aide a clarifier comment les actions locales se relient a la responsabilite globale dans toutes nos relations. Au moyen de cette approche de questionnement profond, nous pouvons tous creer notre propre ecosophie, qui

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.587
Threshold uncertainty score0.690

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.021
GPT teacher head0.306
Teacher spread0.285 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations8
Published2000
Admission routes1
Has abstractyes

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