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Record W1497979602

Gregory Bateson’s Contribution to Understanding the Linguistic Roots of the Ecological Crisis

2012· article· en· W1497979602 on OpenAlexvenueno aff
C. A. Bowers

Bibliographic record

VenueThe Trumpeter · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicLanguage and cultural evolution
Canadian institutionsnot available
Fundersnot available
KeywordsEcological crisisEpistemologyEcologyProcess (computing)SociologySet (abstract data type)Natural (archaeology)PhilosophyEnvironmental ethicsGeographyComputer scienceArchaeology
DOInot available

Abstract

fetched live from OpenAlex

The five core ideas of Gregory Bateson discussed here challenge a widely held orthodoxy taken for granted by many academics, including western philosophers. Namely, that language functions as a neutral conduit in a sender receiver process of communication. This assumption sustains the idea of a culture-free rational process, and objective information and data. It also hides the linguistic colonization of the present by the past, which is critical to understanding why we continue to rely upon the same mind-set that is contributing to the ecological crisis to fix it. Bateson’s five key ideas––the recursive nature of our guiding epistemologies, the disconnect between our conceptual maps (metaphorical interpretative frameworks constituted in the distant past) and today’s cultural/ecological realities, how the difference which make difference is the most basic source of information circulating through both cultural and natural ecologies, the nature of double bind thinking, and the need to move to Level III learning––provide a conceptual framework for understanding the difference between ecological and individual intelligence, and why so little attention is given by environmentalists and philosophers to the linguistic roots of the ecological crisis.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.699
Threshold uncertainty score0.542

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.038
GPT teacher head0.300
Teacher spread0.262 · 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 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

Citations1
Published2012
Admission routes1
Has abstractyes

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