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Record W2786961322 · doi:10.22215/etd/2017-11951

Securing the Economy and Economizing Security: An Analysis of Material Influences Underpinning Canada’s Position on the Israel-Palestine Conflict

2017· dissertation· en· W2786961322 on OpenAlexaffabout
Garrett Halas

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsPalestineBureaucracyGeopoliticsPosition (finance)Political scienceRhetorical questionCapital (architecture)ProductivityUnderpinningPolitical economyResistance (ecology)EconomyGeographySociologyLawEconomic growthEconomicsHistoryEngineeringAncient historyArchaeologyPolitics

Abstract

fetched live from OpenAlex

This thesis explores Canada’s relationship to Israel using a document and policy analysis in an attempt to reconcile discursive elements with actual bilateral relations between these two nations. Using a Marxian approach to interpreting Israel’s military-industrial complex from the geopolitical perspective of Canada, this research highlights how Palestinian resistance contributes to the labour required for the production of security commodities within the capitalist world system. Documents retrieved via Canada’s Access to Information Act reveal how the bureaucratic processes needed to facilitate capital accumulation are carried out between Canada and Israel. Despite Canada’s historic rhetorical position as a neutral mediator, findings suggest that Canada is in collaboration with Israel’s colonization of Palestine and positions itself in accordance with its own interests of capital accumulation. Moreover, they suggest that while pushing towards productivity is not the reason Israel and Canada colonize Palestine, it is the means by which they colonize 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)0.001
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: Other · Consensus signal: none
Teacher disagreement score0.095
Threshold uncertainty score0.691

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0150.012
Scholarly communication0.0110.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.030
GPT teacher head0.300
Teacher spread0.270 · 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
Published2017
Admission routes2
Has abstractyes

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Same topicJewish and Middle Eastern StudiesFrench-language works237,207