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Record W4385600434 · doi:10.59962/9780774835053-001

Foreword

2017· book-chapter· en· W4385600434 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2017
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

On the side of the angels?Our aspiration but not always our history.Most Canadians take considerable satisfaction in the quick and easy assumption that, when it comes to human rights on the world stage, without question Canada is a country that stands "on the side of the angels."It is who we are.Isn't it?Andrew Thompson's insightful review of six decades of Canadian engagement within the UN human rights system is a thoughtful reminder that Canada has had a much more complicated and nuanced history as a global human rights leader.There have been positions, initiatives, and accomplishments that have been truly angelic, assuredly so.But not always.The eyes of many readers will no doubt open wide, for example, as they learn that, when the most precious and revered human rights instrument of the United Nations, the Universal Declaration of Human Rights, came up for an initial round of voting in 1948, Canada did not vote in favour of it.No, Canadians then were not with the angels as the United Nations took its initial step to give substance to the newly established global body's promise of an international order rooted in respect for human rights.Instead, alone among Western liberal democracies and aligning themselves with Soviet Bloc countries, Canadians abstained in the UN Third Committee.That quickly gave way to a vote in favour of the declaration when it came before the full UN General Assembly.But few Canadians now would

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: Other
Teacher disagreement score0.429
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0060.001
Scholarly communication0.0060.003
Open science0.0020.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.5710.435

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 head0.018
GPT teacher head0.185
Teacher spread0.167 · 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.

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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueUniversity of British Columbia Press eBooks→Same topicCanadian Identity and History→French-language works237,207→