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Record W3038896642 · doi:10.4324/9781003057277-13

Landscapes, Wildlife, and Grey Owl: Settler Colonial Imaginaries and Tourist Spaces in William J. Oliver’s Parks Branch Films, 1920s-1930s

2020· book-chapter· en· W3038896642 on OpenAlexaboutno aff
Dominique Brégent‐Heald

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicEcology and biodiversity studies
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismThe ImaginaryIndigenousWildlifeGeographyBeaverEthnologyArt historyPopulationEnvironmental ethicsHistoryArtArchaeologyAnthropologySociologyEcologyPhilosophyDemography

Abstract

fetched live from OpenAlex

During the interwar period, the Calgary-based filmmaker, William J. Oliver, filmed the majority of motion pictures for Canada’s Parks Branch. In addition to promoting colonial-nationalist landscapes, Oliver specialized in wildlife films. Oliver’s “beaver films,” which featured ersatz Indigeneity in the persona of Grey Owl who, in reality, was the English-born writer and conservationist Archibald Belaney, are examined. Grey Owl centered his broad naturalist message on the beaver – an imperial and national signifier – whose population had declined across northern Canada due to over-hunting. In the settler colonial imagination, Grey Owl appears as a liminal figure, existing somewhere between human and nonhuman animal. Oliver’s wildlife productions fostered human–nonhuman animal relationships based on an appreciation for the authentic creatures within the protected boundaries of the nation. The erasure of Indigenous communities and the concomitant preservation of native nonhuman animals in their natural habitat has been central to the Canadian park imaginary since its founding.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.354
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.008
GPT teacher head0.189
Teacher spread0.181 · 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.

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

Citations2
Published2020
Admission routes1
Has abstractyes

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