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Record W2058091954 · doi:10.3138/ctr.161.011

Make-Believing White Civility: Historical Re-enactments at Fort Langley, British Columbia

2015· article· en· W2058091954 on OpenAlexvenueaboutno aff
M.R.Q. Davies

Bibliographic record

VenueCanadian Theatre Review · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsProclamationCivilityIndigenousWhite (mutation)Context (archaeology)LawHistorySociologyIdeologyColonialismArchaeologyPolitical sciencePolitics

Abstract

fetched live from OpenAlex

In 1858 Governor James Douglas proclaimed British Columbia a colony at Fort Langley before an audience of Hudson’s Bay Company officials, workers, and Indigenous leaders. The Proclamation dissolved the Hudson’s Bay Company trading monopoly and, while claiming to protect Indigenous lands, actually asserted British ownership of their territory. In the present, Fort Langley National Historic Site holds regular re-enactments of the Proclamation through their educational programs targeting local schools. The script for these re-enactments, authored by Parks Canada staff, allows schoolchildren to role-play a scenario in which James Douglas proclaims British Columbia a colony to protect Indigenous lands, without explicitly staging the negative consequences for Indigenous peoples that the claiming of those lands caused. I link these two events, the 1858 Proclamation and the present-day re-enactments, by comparing the script’s content to its historical and contemporary context. I conclude that the Proclamation re-enactments become performances of recolonization when Parks Canada deceptively presents its own wry civility (Daniel Coleman). The 1858 Proclamation’s embedded civility, and its repetition and reformation in the contemporary script, the production process, and the surrounding social structure, allows colonial ideology to be physicalized, invested, and passed on to and through children at the Fort Langley National Historic Site.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.403
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.285
Teacher spread0.251 · 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
Published2015
Admission routes2
Has abstractyes

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