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Record W1505065698

Culture and Environment

2005· article· en· W1505065698 on OpenAlexaboutno aff
Arne Næss

Bibliographic record

VenueTrumpeter · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)Ecological crisisPoliticsDiplomacyEnvironmental ethicsPolitical sciencePolitical ecologyTreatyEcologySociologyLaw
DOInot available

Abstract

fetched live from OpenAlex

What I am going to discuss are certain relations between culture and the global process of increasing ecological unsustainability. One of the many factors which make it difficult to change the process into one of decreasing unsustainability is the shift in ways of thinking from that of ecology to that of environment. The latter term suggests that we have to do with something outside humanity, something we regrettably are dependent upon. It is easier to mobilize people and money if we acknowledge human tendency to self-destruction through policies which not only spoil our nests, but leads us away from our own basic goals in life, whether it is called happiness or not. The increasing ecological unsustainability is something much nearer to our souls and selves than we have traditionally assumed. It is today often acknowledged that overcoming the increasing ecological crisis—the still increasing level of ecological unsustainability—leads invariably to problems in the humanities, in sociology and political science. It even fosters new branches like environmental diplomacy. The Canadian government decided to propose to stop complaining harshly about air pollution in Canada due to US pollutants provided the government of the US agreed to a trade treaty favorable to Canada. It is today accepted that every major ecological problem has a social and political aspect. Furthermore, it is clear that technological invention, even of a revolutionary kind since the 1960s, such as solar energy, had practically no influence on the curve of

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.946
Threshold uncertainty score0.994

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.169
Teacher spread0.161 · 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.

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

Citations7
Published2005
Admission routes1
Has abstractyes

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