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Record W3015681475 · doi:10.26522/tg.v5i1.2386

Upper Canada Preserved

2020· article· en· W3015681475 on OpenAlexaffvenueabout
Nathan Ewen

Bibliographic record

Venuethe general brock university Undergraduate journal of history · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsBrock University
Fundersnot available
KeywordsVictoryMythologyNationalismIndigenousIdentity (music)World War IIHistoryPolitical scienceSociologyLawPolitical economyAestheticsPoliticsArt

Abstract

fetched live from OpenAlex

Following the end of the War of 1812, there was a conscious effort on the part of prominent Upper Canadians to immortalize the deeds and contributions of the Canadian Militia. Hugely overstating their meagre efforts, these figures claimed the lions share of victory for the citizen soldiers, ignoring the far more meaningful and significant effect that British redcoats and Indigenous warriors had in defeating the Americans. By creating this myth these prominent men, many of whom served in the militia, sought to enrich and entrench their positions in Upper Canadian society. Additionally, this Militia Myth helped form a new sense of Canadian identity (a specifically British version of it), that would be crucial in fostering a new nationalism that would emerge in mid-19th century Upper Canada.

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)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.100
Threshold uncertainty score0.624

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0230.004
Scholarly communication0.0070.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1000.007

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 head0.020
GPT teacher head0.185
Teacher spread0.165 · 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
Published2020
Admission routes3
Has abstractyes

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