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Record W4385869043 · doi:10.59962/9780774851732

The Middle Power Project

2007· book· en· W4385869043 on OpenAlexaboutno aff
Adam Chapnick

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2007
Typebook
Languageen
FieldSocial Sciences
TopicInternational Relations and Foreign Policy
Canadian institutionsnot available
Fundersnot available
KeywordsPower (physics)Computer sciencePhysics

Abstract

fetched live from OpenAlex

The Middle Power Project describes a defining period of Canadian and international history. During the Second World War, Canada transformed itself from British dominion to self-proclaimed middle power. It became an active, enthusiastic, and idealistic participant in the creation of one of the longest lasting global institutions of recent times -- the United Nations. This was, in many historians' opinions, the beginning of a golden age in Canadian diplomacy. Chapnick suggests that the golden age may not have been so lustrous. During the UN negotiations, Canadian policymakers were more cautious than idealistic. The civil service was inexperienced and often internally divided. Canada's significant contributions were generally limited to the much neglected economic and social fields. Nevertheless, creating the UN changed what it meant to be Canadian. Rightly or wrongly, from the establishment of the UN onwards, Canadians would see themselves as leading internationalists. Based on materials not previously available to Canadian scholars, The Middle Power Project presents a critical reassessment of the traditional and widely accepted account of Canada's role and interests in the formation of the United Nations. It will be be read carefully by historians and political scientists, and will be appreciated by general readers with an interest in Canadian and international history.

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)0.002
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.722
Threshold uncertainty score0.559

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0110.006
Scholarly communication0.0090.004
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0390.007

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 head0.031
GPT teacher head0.243
Teacher spread0.213 · 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
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

Citations6
Published2007
Admission routes1
Has abstractyes

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