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Record W4399954669 · doi:10.5040/9798400696367

Personal Policy Making

2002· book· en· W4399954669 on OpenAlexaboutno aff
Eliezer Tauber

Bibliographic record

VenuePraeger eBooks · 2002
Typebook
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Without the Canadian mediation between the two world blocs in 1947, UN resolution 181(II) to partition Palestine would likely have failed to secure the two thirds majority necessary for adoption by the General Assembly. In fact, the Canadians were among the main initiators of the partition plan and the establishment of a Jewish state. Tauber demonstrates that this Canadian involvement was not an official government policy, but rather a private initiative of some high-ranking Canadian foreign service officials who believed partition to be the only practicable solution for the Palestine question. Thus, due to humanitarian concerns, these officials followed an independent policy against the express will of their prime minister. The results would forever change the history of the Middle East. Tauber explores this little known aspect of Canadian foreign policy. Canada's under secretary of state for external affairs, Lester Pearson, assisted by other foreign service officials, decided on his own accord which policy to follow in this instance. Based upon many original Canadian, British, American, UN, and Israeli documents, this study shows that Pearson's motivation was not the desire to make Canada a middle power involved in international affairs, as some scholars of Canadian international affairs have previously argued. Instead, the impact of the Holocaust drove these officials to break ranks with their superiors at home to support the establishment of a Jewish state in Palestine.

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)0.009
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.579
Threshold uncertainty score0.600

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.036
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0060.003
Scholarly communication0.0220.009
Open science0.0030.007
Research integrity0.0150.011
Insufficient payload (model declined to judge)0.5790.450

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 head0.055
GPT teacher head0.358
Teacher spread0.303 · 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.

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

Citations2
Published2002
Admission routes1
Has abstractyes

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Same venuePraeger eBooksSame topicSocial Policy and Reform StudiesFrench-language works237,207