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Record W1828749085 · doi:10.3138/jcs.38.3.69

Montreal and Its Environs: Imagining a National Landscape, c. 1867-1885

2004· article· en· W1828749085 on OpenAlexvenueaboutno aff
Gillian Poulter

Bibliographic record

VenueJournal of Canadian Studies · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousNational identityNationalismNational consciousnessIdeologyWildernessDominionEthnologySociologyIdentity (music)National parkGender studiesMedia studiesHistoryAnthropologyPoliticsAestheticsPolitical scienceArchaeologyLawEcologyArt

Abstract

fetched live from OpenAlex

Historians of nationalism have demonstrated that national identity is as much a cultural as an ideological construct. Like other identities (class, gender, race), national identity has to be imagined, performed, and witnessed if it is to achieve widespread recognition and produce a common consciousness. Participating in indigenous activities such as snowshoeing and tobogganing, and turning them into organized sports, allowed urban anglophone colonists in Victorian Montreal to invent for themselves a new Canadian identity. On their tramps over Mount Royal and into the countryside outside the city, they envisaged themselves as latter-day Nor’Westers setting out into the wilderness—an indigenizing experience that linked them to the national landscape and the historic pasts (both Native and French-Canadian) of the new Dominion, and allowed them to imagine themselves as “sons of the soil,” a new British type of native Canadian. This essay explores the role played by the landscape of the city of Montreal and its rural environs in this cultural performance.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.714
Threshold uncertainty score0.589

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
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 head0.029
GPT teacher head0.270
Teacher spread0.241 · 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 teacher head, 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

Citations5
Published2004
Admission routes2
Has abstractyes

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