MétaCan
Menu
← Back to cohort
Record W4220927041 · doi:10.4324/9781003048749-5

Setting the stage for possibilities of collaborative survival

2022· book-chapter· en· W4220927041 on OpenAlexaboutno aff
Mohebat Ahmadi

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsStage (stratigraphy)GeologyPaleontology

Abstract

fetched live from OpenAlex

Collective thinking and stories of multispecies intra-activity are expressed more directly and innovatively in the collaborative space of A Brief History of Human Extinction (2018) by the Canadian playwright Jordan Hall and This World Made Itself (2013) and Infinitely Yours (2020) by the Los Angeles-based director and artist Miwa Matreyek in Chapter 5 . These provocative works of theatre and performance challenge audiences to think differently about the history of the earth, human relationships with nonhumans and matter, and environmental crises. Hall’s play – created in collaboration with Mind of a Snail puppet theatre – employs mixed media, science fiction, and speculative art to interrogate anthropocentric hierarchy. Matreyek combines the ecodramaturgical practices of collage animation, dance, musical elements, installation art, film, theatrical performance, and eco-activism. Her performance pieces integrate her own shadow into animated images of earth history, evolution, and environmental degradation, prompting viewers to reflect on the entanglement of their bodies with a damaged and damaging ecology. These plays and performances call for us to be in the present, stay with the trouble, and respond to this challenging situation through ongoing entanglements with other humans and nonhumans.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.027
Scholarly communication0.0120.013
Open science0.0020.012
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0190.005

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 head0.045
GPT teacher head0.397
Teacher spread0.352 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same topicResilience and Mental Health→French-language works237,207→