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Canadian Redress as Ambivalent Transnationality

2016· book-chapter· en· W4234464044 on OpenAlexaboutno aff

Bibliographic record

VenueStanford University Press eBooks · 2016
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsRedressTransnationalityAmbivalenceGender studiesPolitical scienceIdentity (music)PoliticsGovernment (linguistics)SociologyEconomic JusticePolitical economyLawSocial psychologyAestheticsPsychology

Abstract

fetched live from OpenAlex

Shifting the geographical and cultural scope of the book, Chapter Three looks at Canadian discourses of redress in the year following the publication of Personal Justice Denied (1983). The product of a formal government inquiry, this publication galvanized Nikkei in Canada, who subsequently set about debating how best to pursue redress in that country. Recognizing profound cultural and political differences between their situation and that of Japanese Americans, they engaged in a discourse that shows how Nikkei identity in North America in the 1980s was contested, fragmentary, and at times contradictory, rather than discrete and easy to identify. Rather than produce some kind of artificially unified self-image, Japanese Canadians in pursuit of redress engaged in an ambivalent transnationality that referred to American (and Japanese) precedents even as all of the parties involved recognized the significant differences that attended each main type of Nikkei experience.

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, 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 score0.973
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
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.020
GPT teacher head0.209
Teacher spread0.189 · 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
Published2016
Admission routes1
Has abstractyes

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