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Record W2605875340 · doi:10.1017/s0008423917000105

Canada and Society

2017· article· en· W2605875340 on OpenAlexaffabout
Caroline Andrew

Bibliographic record

VenueCanadian Journal of Political Science · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsFoundation (evidence)Theme (computing)Reading (process)Inclusion (mineral)EmpireHistoryMedia studiesSociologyLawPolitical scienceSocial scienceComputer science

Abstract

fetched live from OpenAlex

What a lovely challenge: describe the books that best contribute to our knowledge and understanding of Canadian society. My first reaction was to think of those books that I particularly enjoyed reading and piece them together in a sort of long and personal review of key books. Then I came to the idea of knowledge and understanding of Canadian society and decided that the fundamental theme of this review should be the path, albeit a very slow path, we are on to reinvent the foundation story of Canada. The basic foundation story of Canada—that the country was first discovered by European settlers, that it was built from the top by the British Empire and that its stability and success depends on its institutions being maintained—is being undone. We are slowly recognizing whose histories have been ignored in this foundation story. I decided my review should follow the path of this rewriting of the foundation story of Canada. I will organize the review by the waves of books that analyse, advocate and interpret these different calls—by places, groups, bodies, projects—for voice, recognition and inclusion.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.091
Threshold uncertainty score0.659

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.011
Science and technology studies0.0100.012
Scholarly communication0.0160.006
Open science0.0020.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0220.003

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 head0.015
GPT teacher head0.257
Teacher spread0.242 · 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 designNot applicable
Domainnot available
GenreEmpirical

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

Citations3
Published2017
Admission routes2
Has abstractyes

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