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Record W3139495531 · doi:10.3138/tric.41.1.39

Princess White Deer’s Show Blanket: Brokering Popular Indigenous Performance Across International Borders

2020· article· en· W3139495531 on OpenAlexvenueno aff
Christine Bold

Bibliographic record

VenueTheatre Research in Canada · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousWhite (mutation)SpectacleMohawkKinshipChoreographyDanceCeremonyHistoryGeographyMedia studiesGender studiesSociologyVisual artsPolitical scienceAnthropologyArtArchaeologyLawLibrary science

Abstract

fetched live from OpenAlex

This article focuses on Esther Deer, also known as Princess White Deer, and her family of Mohawk performers from Caughnawaga and St. Regis (now Kahnawà:ke and Ahkwesáhsne) in the late nineteenth and early twentieth centuries, a period often considered the nadir of genocidal policies and practices against the Peoples of Turtle Island. Working, as a settler scholar, with the Princess White Deer Collection in the Kanien’kehá:ka Onkwawén:na Raotitióhkwa Language and Cultural Center and with voluminous non-Indigenous press coverage, Bold reconstructs and reads details of the Deers’ acts on the international circuit. In their choreography of spectacle and control of theatrical space, their management of their own labour and their address to their audiences, they seem not only to seize agency in the entertainment marketplace but also to sustain intergenerational family, kinship, and community relations. The most visible marker of their border-crossing mobility and cultural brokerage lies in the layers of their performance attire—the topmost of which is the show blanket, especially as wielded by Princess White Deer.

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)0.004
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 score0.741
Threshold uncertainty score0.521

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0220.016
Scholarly communication0.0080.002
Open science0.0010.008
Research integrity0.0010.002
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 head0.056
GPT teacher head0.385
Teacher spread0.330 · 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
Published2020
Admission routes1
Has abstractyes

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Same venueTheatre Research in CanadaSame topicIndigenous Health, Education, and RightsFrench-language works237,207