MétaCan
Menu
Back to cohort
Record W2529571391 · doi:10.7202/1037556ar

Onward! Canadian Expansionist Outlooks and the Photographs that Serve Them

2016· article· fr· W2529571391 on OpenAlexaffvenueabout
Elizabeth Anne Cavaliere

Bibliographic record

VenueRACAR Revue d art canadienne · 2016
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsUniversities Art Association of Canada
Fundersnot available
KeywordsHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

Produites en tant qu’archives visuelles venant appuyer le processus de documentation du paysage canadien, les photographies topographiques du XIXe siècle ont également été utilisées afin de soutenir des prises de position culturelles et politiques. Nous explorons ici les différentes utilisations faites des photos prises par Charles Horetzky des levés du Chemin de fer Canadien Pacifique, en traçant les changement depuis leur contexte de production jusqu’à leur inclusion dans une publication de George Monro Grant datant de 1873 et intitulée Ocean to Ocean : Sandford Fleming’s Expedition through Canada in 1872. Grant, un révérend presbytérien pour qui l’idée d’expansion était rattachée à des motivations religieuses, instrumentalisa ces oeuvres afin de justifier ses propres perspectives expansionnistes. En suivant ces transformations, cet essai examine le rôle de la photographie dans le peuplement du Canada ainsi que dans la formation des perceptions de l’Ouest canadien.

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)0.002
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.063
Threshold uncertainty score0.277

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0150.008
Scholarly communication0.0080.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0630.003

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 head0.168
Teacher spread0.147 · 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
Published2016
Admission routes3
Has abstractyes

Explore more

Same venueRACAR Revue d art canadienneSame topicHistorical Studies and Socio-cultural AnalysisFrench-language works237,207