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Record W4206504889 · doi:10.7202/1085310ar

Dancing the Waterways in Leanne Simpson’s she sang them home

2022· article· en· W4206504889 on OpenAlexaffvenue
Cara Mumford

Bibliographic record

VenuePerformance Matters · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsYork University
Fundersnot available
KeywordsCeremonyDanceIndigenousPrayerShoreArtContinuanceHistoryVisual artsGeographyArchaeologyFisheryLawEcologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Inspired by essay films meditating on time, travel and ceremony and informed by cinematic cartography, my short dance film, sing them home (2020), travels the specific bodies of water that form the route that Atlantic Salmon once journeyed as they migrated to Michi Saagiig Nishnaabeg territory. Rooted in Nishnaabewin and Indigenous food sovereignty, toward a vision of the collective continuance of Michi Saagiig aki miijim, the film uses movement to activate sites in and on the shores of these lakes and rivers in the present while remembering the past and future of this waterway and her kin. This photo essay documents the film's journey and invites you to consider the making of this dance film as a prayer for the salmon to return.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.003
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.001

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 head0.021
GPT teacher head0.235
Teacher spread0.214 · 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 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

Citations0
Published2022
Admission routes2
Has abstractyes

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