MétaCan
Menu
Back to cohort
Record W3090188693 · doi:10.18432/ari29496

REVIEW OF "THE ANTHROPOCENE PROJECT"

2020· article· en· W3090188693 on OpenAlexaffvenueabout
Shannon Stevens, Richard Wainwright

Bibliographic record

VenueArt/Research International A Transdisciplinary Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsAnthropoceneCreaturesCounterintuitiveGeopoliticsHistoryDeep timeEnvironmental ethicsScale (ratio)ArchaeologyGeographyPoliticsNatural (archaeology)CartographyPaleontologyPolitical scienceGeologyEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

Here, we engage The Anthropocene Project: a 2019 art event that features photographic exhibits in art galleries and museums, both across Canada and internationally. The project also includes a feature length film, augmented reality, and a proposed curriculum. The Anthropocene Project thematically addresses one of the most pressing, yet controversial, matters of our age: the deleterious effects of human activity on the earth. As a proposed geopolitical epoch, the Anthropocene marks this specific time in history whereby human activity has more significant environmental impact than all other factors combined. The photography that depicts scenes of ecological cost and environmental devastation are deceptively, seductively appealing. We resist the lulling effect of the Anthropocene Project’s visually stunning images that engender a sense of awe at these demonstrations of human engineering achievements on such a large scale. We are left wondering at our species’ prospects of survival when we can become entranced by images portraying events so counterintuitive to our survival as omnivores, as mammals, as oxygen dependent creatures.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.910
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.178
GPT teacher head0.489
Teacher spread0.311 · 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

Citations3
Published2020
Admission routes3
Has abstractyes

Explore more

Same venueArt/Research International A Transdisciplinary JournalSame topicGeographies of human-animal interactionsFrench-language works237,207