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Record W7162036763 · doi:10.82308/7128

“Little Known and less Frequented”: colonialism and conceptions of the environment in nineteenth-century British-Canadian imperial thought

2024· dissertation· en· W7162036763 on OpenAlexaboutno aff
Kevin Galarneau

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldArts and Humanities
TopicTravel Writing and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsEmpireWildernessIndigenousColonialismBritish Empire

Abstract

fetched live from OpenAlex

This thesis presents case studies in imperial relationships with nineteenth-century Canadian environments. First, it tackles perceptions from the centre of the British empire through the Aborigines’ Protection Society (APS), a group of philanthropists who promoted the civilizing mission. The APS propagated their perception of the environment as tameable which had direct consequences for Indigenous people. The second case utilizes the anti-conquest framework to evaluate how travel literature by British writers transformed a partially tamed wilderness into an Eden for hunters, setting the groundwork for further colonization of the environment. The final case examines the writings of Canadian intellectuals to show how the inheritors of empire used environment, and more specifically, climate, to intensify boosterism. This thesis contends that although these cases may seem disparate at first reading, they are linked by the perception of Canadian environment and climate as conquerable, providing another way for the empire to justify its existence

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)0.002
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: none
Teacher disagreement score0.071
Threshold uncertainty score0.512

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0270.074
Scholarly communication0.0110.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.203
Teacher spread0.194 · 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
Published2024
Admission routes1
Has abstractyes

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