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Record W4411093670 · doi:10.5771/0257-9774-2025-1-157

Rock Paintings in the “Wilderness” – “Savaged and Shared”

2025· article· en· W4411093670 on OpenAlexaboutno aff
Alicia Colson

Bibliographic record

VenueAnthropos · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicArchaeology and Rock Art Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWildernessPaintingArtArchaeologyArt historyHistoryEcologyBiology

Abstract

fetched live from OpenAlex

The contrast between the experiences of those who are not indigenous but live in Canada and the Indigenous experiences is often missing from the literature on pictograph sites, red ochre images, found throughout the Boreal Forest, in the Precambrian Shield. These places, when one reads the academic literature predominately written by those who are not Indigenous, appear “stuck in time,” in voids of their own: impassive witnesses to the transformation of a landscape. Archaeologists, usually with a Western European worldview, working with rock paintings, pictographs are on the horns of a dilemma. At least two or more world views are in operation. This landscape, the Boreal Forest, has at least two different groups of meanings: to largely former European settlers, and to the Indigenous peoples, hunter-gatherers/foragers.

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)0.001
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: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.130

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.010
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.014
GPT teacher head0.333
Teacher spread0.319 · 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
Published2025
Admission routes1
Has abstractyes

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