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Record W7034292028

Unearthing: Indigenous Art as Environmental Activism in Contemporary Canada

2021· other· en· W7034292028 on OpenAlexaboutno aff

Bibliographic record

VenueNC Digital Online Collection of Knowledge and Scholarship (The University of North Carolina at Greensboro) · 2021
Typeother
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Industrial Development
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousVariety (cybernetics)Contemporary artEnvironmental artCultural heritageMuseology
DOInot available

Abstract

fetched live from OpenAlex

This research paper seeks to challenge the idea that Indigenous art is strictly based in heritage and has no place alongside contemporary works. The use of the word “Unearthing” in this title refers to often unseen and destructive environmental impacts, such as logging, while also referencing the act of discovery or “bringing to light.” With this project, I attempt to answer three questions:1. How have artists communicated the need for positive environmental change through their work?2. How have new forms of media been utilized in the creation of these works?3. What impact do Indigenous artists have on curatorial practices in museums and galleries? (What are the curatorial implications?)Curatorial practices refer to activities such as communicating directly with artists and presenting artwork to the public. This paper discusses a variety of environmental issues, exhibitions/installations, and Indigenous artists that have contributed to an ever expanding contemporary art scene in Canada that is often overlooked.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.121
Threshold uncertainty score0.878

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0280.015
Scholarly communication0.0120.002
Open science0.0020.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0100.000

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 head0.031
GPT teacher head0.193
Teacher spread0.162 · 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
GenreOther

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
Published2021
Admission routes1
Has abstractyes

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Same venueNC Digital Online Collection of Knowledge and Scholarship (The University of North Carolina at Greensboro)Same topicEconomic and Industrial DevelopmentFrench-language works237,207