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Record W4380249560 · doi:10.1515/9780228004332

The Children's Senator

2020· book· en· W4380249560 on OpenAlexaboutno aff

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2020
Typebook
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

The Honourable Landon Pearson's domestic and global advocacy efforts with, for, and on behalf of children and young people have unfolded over a period of sixty years including thirty years in the Canadian Foreign Service and eleven years in the Senate of Canada. Two of the key ideas that frame her vision are that as rights holders, children have a right to participate in matters that affect their lives, and that every child needs at least one adult to provide steadfast and consistent support. In The Children's Senator contributors detail Pearson's influence on children's rights scholarship, research, and advocacy in a variety of areas including Indigenous children's rights, youth justice, commercial sexual exploitation of children, children's mental health, and corporal punishment. Following Pearson's lifelong commitment to highlighting young people's participation, the volume also includes testimonials from former students regarding her invaluable mentorship. Pearson's professional career and aspects of her personal life, including her experience as a parent of five children, merge in a fascinating account of Canada's premier children's rights advocate. An intimate and compelling collection, The Children's Senator celebrates Pearson as a catalyst of change in Canada and internationally. Her efforts to construct a children's rights architecture in collaboration with decision-makers and young people inform a legacy that has laid a foundation for children's rights into the twenty-first century.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.211
Threshold uncertainty score0.420

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.002
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0430.012

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 head0.013
GPT teacher head0.225
Teacher spread0.212 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueMcGill-Queen's University Press eBooks→Same topicAmerican Constitutional Law and Politics→French-language works237,207→