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Record W3042468719 · doi:10.1177/2514848620938316

The Creatures Collective: Manifestings

2020· article· en· W3042468719 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnvironment and Planning E Nature and Space · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsBalsillie School of International AffairsCarleton University
Fundersnot available
KeywordsCreaturesEthosPluralHarmSociologyEnvironmental ethicsPremiseWork (physics)AnthropoceneHistoryPolitical scienceEpistemologyEngineeringArchaeologyLawNatural (archaeology)

Abstract

fetched live from OpenAlex

This piece explores the work and entanglements of our research collective, formed in 2016. First, we collectively articulate the ethos and the motivations that inform the ways in which we labor to engage with complex, plural, multi-vocal experiences of extinction, “the Anthropocene,” and earth violence as they are felt and known across the diverse communities we represent. Then, drawing on more than three years of work across relations that tie us to Australia, Canada, Malaysian Borneo, the Philippines, and the United States of America, we share reflections on some of the vital relationships, methods, and “creatures” that animate our collaboration. This collection of “manifestings” aims to show how we work, very consciously, to foster more-than-human capacities for confronting the multi-scalar, cross-cosmological forms of violence that drive extinction and other forms of ecological harm in the world today.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.392
Threshold uncertainty score0.999

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 studies0.0010.000
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 head0.014
GPT teacher head0.276
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