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Record W1573396287 · doi:10.5860/choice.46-2272

Canadian studies in the new millennium

2008· article· en· W1573396287 on OpenAlexaboutno aff

Bibliographic record

VenueChoice Reviews Online · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHistory

Abstract

fetched live from OpenAlex

Preface Map of Canada Introduction - Patrick James (University of Southern California) and Mark Kasoff (Bowling Green State University) 1 Canada: Too Much Geography? - Michael J. Broadway (Northern Michigan University) 2 Canadian History in North American Context - John Herd Thompson (Duke University) and Mark Paul Richard (State University of New York at Plattsburgh) 3 Politics and Government - Munroe Eagles (University at Buffalo - State University of New York) and Sharon A. Manna (North Lake College) 4 The Economy - Mark Kasoff (Bowling Green State University) and Paul Storer (Western Washington University) 5 Population and Immigration Policy - Roderic Beaujot (University of Western Ontario) and Muhammed Munib Raza (University of Western Ontario) 6 Quebec's Destiny - Louis Belanger (Universite Laval) and Charles F. Doran (Johns Hopkins University) 7 Literary and Popular Culture - Andrew Holman (Bridgewater State University) and Robert Thacker (St. Lawrence University) 8 Native Peoples - Michael Lusztig (Southern Methodist University) 9 Women's Issues - Patrice LeClerc (St. Lawrence University) 10 Environmental Policy - Leslie R. Alm (Boise State University) and Ross E. Burkhart (Boise State University) 11 Civil Society and the Vibrancy of Canadian Citizens - Lea Caragata (Wilfrid Laurier University) and Sammy Basu (Willamette University) 12 Canadian Foreign Policy - Douglas Nord (Western Washington University) and Heather Smith (University of Northern British Columbia) 13 Trends and Prospects - Mark Kasoff (Bowling Green State University ) and Patrick James (University of Southern California)

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Review · Consensus signal: Review
Teacher disagreement score0.047
Threshold uncertainty score0.618

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.166
GPT teacher head0.384
Teacher spread0.217 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations27
Published2008
Admission routes1
Has abstractyes

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Same venueChoice Reviews OnlineSame topicCanadian Identity and HistoryFrench-language works237,207