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Record W2022115635 · doi:10.15353/cfs-rcea.v1i2.51

Clearing the Plains: Disease, Politics of Starvation, and the Loss of Aboriginal Life

2014· article· en· W2022115635 on OpenAlex

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Food Studies / La Revue canadienne des études sur l alimentation · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsQueen's University
Fundersnot available
KeywordsClearingIndigenousSettlement (finance)PoliticsStarvationHistoryMonopolizationEthnologyEnvironmental ethicsGeographyCriminologyPolitical scienceSociologyDevelopment economicsLawEcologyBiology

Abstract

fetched live from OpenAlex

At a time when Indigenous hunger and strife is gaining public attention in Canada, James Daschuk’s book Clearing the Plains: Disease, Politics of Starvation, and the Loss of Aboriginal Life provides a necessary glimpse into the issue’s deep-seated roots. Now a professor at University of Regina specializing historical Indigenous research, Daschuk has published a number of works regarding the health of First Nations peoples of the Canadian Plains. Compiled as part of his doctoral research, Clearing the Plains succinctly consolidates a breadth of ostensibly buried Canadian historical literature to reveal the true nature of Canada's Midwest settlement, while depicting monopolization’s devastating effects on marginalized populations in the process.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.883
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.247
Teacher spread0.225 · 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