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Record W4311720770 · doi:10.1177/14744740221142881

Restoring the river, restoring relations: on Anishinaabe artist Michael Belmore’s stone series, <i>Replenishment</i>

2022· article· en· W4311720770 on OpenAlex
Nicole Latulippe

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCultural Geographies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsIndigenousColonialismNarrativeAgency (philosophy)HistoryReciprocity (cultural anthropology)SociologyAnthropologyArchaeologyArtLiteratureEcologySocial science

Abstract

fetched live from OpenAlex

In his work and creative practice, Anishinaabe artist Michael Belmore shows that materials have language and rock tells a story. Belmore’s land-based installation on Manitoulin Island, a three-part granite series titled, Replenishment, tells a story about place that is activated by relationship and reciprocity between people and with the Earth. It reinscribes Indigenous presence on the land, rewrites settler-colonial narratives about place, and broadens the scope and intent of ecological restoration. Drawing on my interactions with the artist and his work during the 2017 Manitoulin Island Summer Historical Institute, a field school on Anishinaabe history, I explore the circulation of knowledge and agency in an Anishinaabe world and consider relationship as essential to decolonizing geography’s engagement with Indigenous peoples and territories. Through rock as mnemonic device, Belmore demonstrates the restorative power of subtle and not so subtle acts of interconnection and relationship.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.357
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0110.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.034
GPT teacher head0.303
Teacher spread0.270 · 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