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Record W2529614298 · doi:10.3138/9781442670167

Transforming Rights: Reflections from the Front Lines

2009· book· en· W2529614298 on OpenAlexaboutno aff
Maxwell Yalden

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2009
Typebook
Languageen
FieldSocial Sciences
TopicHuman Rights and Development
Canadian institutionsnot available
Fundersnot available
KeywordsFront (military)Political scienceGeologyOceanography

Abstract

fetched live from OpenAlex

Maxwell Yalden began his career in the Department of External Affairs; he was posted to Moscow and Paris, and later as ambassador to Belguim. As Canada's Language Commissioner from 1977-1984, he worked to reinforce the Official Languages Act, and language equality, encouraging Canadians to become more inclusive in their attitudes towards both official languages. Chief Commissioner of the Canadian Human Rights Commission from 1987-1996, he also served for eight years as a member of the United Nations Human Rights Committee. Transforming Rights draws on Yalden's extensive experience in rights work to provide a personal assessment of how issues of human rights and language rights have evolved over the past forty years, both within Canada and internationally.Transforming Rights contends that Canadian rights principles reflect a unique history and character and examines the interplay of historical and contemporary Canadian standards with comparable international norms. Yalden argues that Canada's rights achievements demonstrate that though it may not be possible to change beliefs and attitudes through policy and legislation, it is certainly possible to change behaviour - facilitating the expansion of rights. Authoritative and anecdotal, Yalden offers an informed insider's opinion on continuously evolving human rights norms and the impact they have had on the way that people live their lives

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 score0.779
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
Bibliometrics0.0040.002
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.040
GPT teacher head0.271
Teacher spread0.231 · 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
Published2009
Admission routes1
Has abstractyes

Explore more

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