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Record W4302026965 · doi:10.3138/tric.43.2.f04

Experiences from the Edges of the 8th Fire: Indigenous Sovereignty and Settler Responsibility / Expériences des bords du 8e feu : souveraineté autochtone et responsabilité des colons

2022· article· fr· W4302026965 on OpenAlexaffvenueabout
Lib Spry

Bibliographic record

VenueTheatre Research in Canada · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsConcordia University
Fundersnot available
KeywordsHumanitiesArtArt history

Abstract

fetched live from OpenAlex

Les commissaires Annie Smith et Lib Spry ont invité des allochtones qui pratiquent le théâtre un peu partout au Canada à partager leurs expériences de collaboration dans le cadre des productions « 8e Feu », ainsi nommées par l’artiste de théâtre autochtone Yvette Nolan. La discussion qui suit présente les contributions de sept artistes et gestionnaires de théâtre canadien·nes issus de la société coloniale qui font état de leurs expériences dans le cadre de projets de théâtre interculturels et collaboratifs entre Autochtones et allochtones. Isaac Thomas, Aurélie Lacassagne, Savannah Walling, Laurence Dauphinais, Sarah Garton Stanley, Kevin Matthew Wong et Geneviève Pelletier offrent des contributions en anglais ou en français, selon leur langue coloniale. Smith et Spry situent leur propre pratique théâtrale, leur recherche et leur motivation pour cette réflexion puis laissent la place aux sept contributeur·ices qui se situent et décrivent leur participation aux projets théâtraux en répondant aux questions suivantes : Que pensiez-vous savoir lorsque vous avez commencé? Qu’avez-vous appris? Qu’avez-vous dû désapprendre? Quels problèmes avez-vous rencontrés? Que diriez-vous à des praticien·nes et à des artistes-chercheur·euses de théâtre allochtones qui entament ce cheminement? Yvette Nolan offre une réponse aux constats et aux apprentissages des personnes qui ont contribué au projet.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.831
Threshold uncertainty score0.336

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0400.025
Scholarly communication0.0090.004
Open science0.0010.010
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0070.000

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 head0.047
GPT teacher head0.307
Teacher spread0.260 · 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 designQualitative
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 routes3
Has abstractyes

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