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Record W4377240802 · doi:10.1515/9780228009115

Royally Wronged

2021· book· en· W4377240802 on OpenAlexaboutno aff

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2021
Typebook
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials science

Abstract

fetched live from OpenAlex

The Royal Society of Canada’s mandate is to elect to its membership leading scholars in the arts, humanities, social sciences, and sciences, lending its seal of excellence to those who advance artistic and intellectual knowledge in Canada. Duncan Campbell Scott, one of the architects of the Indian residential school system in Canada, served as the society’s president and dominated its activities; many other members – historically overwhelmingly white men – helped shape knowledge systems rooted in colonialism that have proven catastrophic for Indigenous communities. Written primarily by current Royal Society of Canada members, these essays explore the historical contribution of the RSC and of Canadian scholars to the production of ideas and policies that shored up white settler privilege, underpinning the disastrous interaction between Indigenous peoples and white settlers. Historical essays focus on the period from the RSC’s founding in 1882 to the mid-twentieth century; later chapters bring the discussion to the present, documenting the first steps taken to change damaging patterns and challenging the society and Canadian scholars to make substantial strides toward a better future. The highly educated in Canadian society were not just bystanders: they deployed their knowledge and skills to abet colonialism. This volume dives deep into the RSC’s history to learn why academia has more often been an aid to colonialism than a force against it. Royally Wronged poses difficult questions about what is required – for individual academics, fields of study, and the RSC – to move meaningfully toward reconciliation.

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), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.947
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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.021
GPT teacher head0.243
Teacher spread0.222 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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