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Record W4323657959 · doi:10.1215/22011919-10216195

Ecologies, One and All

2023· article· en· W4323657959 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEnvironmental Humanities · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Philosophy and Ethics
Canadian institutionsnot available
FundersUniversity of California, DavisYork University
KeywordsPluralGeneralitySociologyMeaning (existential)EcologyEpistemologyHuman ecologyConversationEnvironmental ethicsSocial sciencePsychologyCommunicationLinguisticsPhilosophyBiology

Abstract

fetched live from OpenAlex

Abstract This essay considers ecology in its singular and plural forms. It asks whether and how the knowledge forms generated by practitioners of the singular science of ecology might weave more fully into a robust plural analytic that is grounded in the acknowledgment of multiple ways of knowing, experiencing, and attributing meaning to consequential connections between the human and the more-than-human world. Although Western science, with singular ecology as one of its many descendants, leaves an undeniable imprint, the essay aims to ask whether the contemporary, lived life of ecological science as postpositivist practice might be working in ways that, while imperfect, may be more legible and shared with scholars in the environmental humanities than is usually noted. It describes the knowledge base of the singular science of ecology, which in contemporary theory and practice consists of collections of disparate, complementary, or contradictory models—ecologies—in the plural, thus holding generality and infinite particularity in constant dialogue. The authors, two natural scientists and one social scientist, aim to provoke fresh discussions about the ways ecological analytics circulate in contemporary research and scholarly practice. The authors’ goal is to further the essential work of more direct and clear conversation, translation, and mutual learning between scholars in the environmental humanities and biophysical ecology. They hold this to be essential as transdisciplinary initiatives endeavor to study, and better understand, how social and environmental change coproduce one another.

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.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.189
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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.007

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 head0.065
GPT teacher head0.223
Teacher spread0.159 · 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