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Record W4322625972 · doi:10.4324/9781003399421-3

Canadian Public Opinion and the Palestine Question

2023· book-chapter· en· W4322625972 on OpenAlexaboutno aff
Jack A. Zubrzycki

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicPost-Soviet Geopolitical Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsFlexibility (engineering)Political scienceContext (archaeology)RationalityForeign policyPosition (finance)State (computer science)Political economyPositive economicsLaw and economicsPublic opinionPublic administrationLawSociologyEconomicsPoliticsGeographyMathematicsManagement

Abstract

fetched live from OpenAlex

This chapter delineates the relationship between public and governmental perceptions of the problems and proposed solutions to the Middle East conflict. The most striking results, nation-wide, are the extremely high proportion of respondents with no opinion on Middle East issues and the relatively slow growth in support for the Arabs. The lack of general Arab cohesion, both in Canada and the Middle East, and the relatively high level of politicisation and strong rhetoric springing from the Middle East served to enhance North American perceptions of an unstable, volatile culture. Although the high proportion of uninformed or uninterested people is discouraging, some Canadians may feel that Canadian policies toward the Middle East are neither essential for the ‘national interest’ nor especially effective, given the duration and scope of the conflict. Canadians have been reluctant to grant the plo political legitimacy, although they have moved toward a realisation that the plo ought to be at any future bargaining table.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.075
Threshold uncertainty score0.547

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0150.009
Scholarly communication0.0100.003
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0260.002

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 head0.037
GPT teacher head0.295
Teacher spread0.258 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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Same topicPost-Soviet Geopolitical DynamicsFrench-language works237,207