MétaCan
Menu
Back to cohort

The Romantic Aesthetics of Settlement in 19th Century Canada

2012· article· en· W1922930346 on OpenAlexaffabout
D.M.R. Bentley

Bibliographic record

VenueLiterature Compass · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsWestern University
Fundersnot available
KeywordsSublimeProsperityBeautyRomanticismSettlement (finance)RomanceIndependence (probability theory)HistoryAestheticsArtArt historyLiteratureLawPolitical science

Abstract

fetched live from OpenAlex

Abstract During the “Settler Revolution” of the pre‐Confederation period (1759–1867) in Canada and for some time afterwards, perceptions of the Canadian landscape were filtered through the aesthetics of the sublime and the picturesque. In addition to seeking out and describing sublime and picturesque sites such as Niagara Falls and the Thousand Islands in what is now Ontario, writers used and adapted the two aesthetics to suit the needs of settlement, deploying the sublime to depict, for example, the clearing fires that were deliberately set to deforest large tracts of land, and the picturesque to identify areas of “profitable beauty”– that is, areas whose fertility, terrain, and climate were amenable to successful agricultural settlement and, hence, to the eventual realization of the utopian ideal of independence and freedom based on prosperity. Works such as Thomas Cary’s Abram’s Plains (1789), John Howison’s Sketches of Upper Canada (1821), Oliver Goldsmith’s The Rising Village (1825), Catharine Parr Traill’s The Backwoods of Canada (1836), and Susanna Moodie’s Roughing It in the Bush (1852) contain passages in which the picturesque aesthetic especially is used to give shape to the landscapes of central and eastern Canada and, indeed, to the country that emerged in 1867.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.130
Threshold uncertainty score0.945

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0400.034
Scholarly communication0.0110.002
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0130.001

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 head0.006
GPT teacher head0.215
Teacher spread0.210 · 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

Citations3
Published2012
Admission routes2
Has abstractyes

Explore more

Same venueLiterature CompassSame topicCanadian Identity and HistoryFrench-language works237,207