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Record W1981217575 · doi:10.4245/sponge.v4i1.14192

Eileen Crist and H. Bruce Rinker, eds. Gaia in Turmoil: Climate Change, Biodepletion and Earth Ethics in an Age of Crisis

2010· article· en· W1981217575 on OpenAlexvenueno aff
Julia Agapitos

Bibliographic record

VenueSpontaneous Generations A Journal for the History and Philosophy of Science · 2010
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicEarth Systems and Cosmic Evolution
Canadian institutionsnot available
Fundersnot available
KeywordsMainstreamHumanityConvictionPleaEnvironmental ethicsSociologyPerspective (graphical)Work (physics)Political scienceLawPhilosophyArtEngineering

Abstract

fetched live from OpenAlex

Gaia in Turmoil is the latest collaborative work put forth by the interdisciplinary group of Gaian thinkers. The contributors set out to meaningfully grapple with the bewildering ecological and social crises that humanity faces in this young century. Their work clearly rests on the assumption that such crises not only exist, but are dire—a conviction that unifies the essays in Gaia in Turmoil. By demonstrating how Gaia theory can advance various research projects, Gaia in Turmoil is an alarmist plea to integrate the Gaian perspective into mainstream thought as the next watershed paradigm through which humanity can survive and prosper.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.448
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.054
GPT teacher head0.264
Teacher spread0.210 · 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

Citations1
Published2010
Admission routes1
Has abstractyes

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