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Record W4400145415 · doi:10.1080/11926422.2024.2362721

Ireland–Canada: contrasting positions on Gaza in an evolving world

2024· article· en· W4400145415 on OpenAlexaboutno aff
Gerry McAlister

Bibliographic record

VenueCanadian Foreign Policy Journal · 2024
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyPolitical scienceAncient historyHistory

Abstract

fetched live from OpenAlex

Ireland's decision to join South Africa in the case against Israel under the Genocide Convention at the International Court of Justice contrasts with Canada's support of Israel in Gaza. In the new geo-political order taking shape, Canada is clearly aligned with the past of NATO and the Anglosphere and not with the evolving and future multi-polar world. Ireland is not a NATO member and has a long-standing policy of political neutrality. But Ireland, a European Union member, also has strong cultural and corporate links with the United States. This requires a delicate and nuanced role to balance Ireland's Western position and its position of support for developing countries and for anti-colonialism in general. Canada's refusal to spell out and condemn the widespread destruction of property in Gaza and the attempt to obliterate a whole people contrasts strongly with Ireland's, where at government and at street level there is widespread condemnation. Ireland's own experience of colonialism is undoubtedly a factor here. As a member of NATO, Canada's hands in foreign policy are tied to some degree but not to the degree of silence in the face of atrocity. Gaza is another chapter in the long history of imperial slaughter.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.122
Threshold uncertainty score0.885

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0290.021
Scholarly communication0.0140.003
Open science0.0020.007
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0090.001

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 head0.025
GPT teacher head0.325
Teacher spread0.300 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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