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Record W2903673553 · doi:10.1177/0020702018812027

From disaster to development?: The role of the Second World War in shaping Canadian humanitarian aid

2018· article· en· W2903673553 on OpenAlexaffabout
Jill Campbell-Miller

Bibliographic record

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsCarleton University
Fundersnot available
KeywordsMainstreamAgency (philosophy)Political scienceWorld War IISpanish Civil WarDevelopment aidHumanitarian aidCivil societyInternational developmentState (computer science)Public administrationPolitical economyEconomic growthDevelopment economicsSociologyLawPoliticsEconomicsSocial science

Abstract

fetched live from OpenAlex

War is antithetical to development. Development, for most mainstream observers, means economic growth, or at least stability, and an increasing quality of life for all, and it cannot exist in a state of war. Yet official development assistance (ODA), one of the primary mechanisms by which many governments and civil society organizations attempt to achieve development in impoverished economies, has a history rooted in war. This paper will explore how the Second World War and its aftermath influenced the creation of Canadian ODA and international development NGOs. While Canada's aid history is most commonly associated with the Canadian International Development Agency, examining this earlier period helps contextualize current debates about the securitization of aid and its harmonization with other aspects of Canadian foreign policy. Using the Unitarian Service Committee (USC) Canada as a case study, this paper will also track its transition from a postwar humanitarian relief agency to a mainstream international development NGO. For Canadian ODA and civil society organizations, the Second World War shaped the legacy of the postwar aid regime and created lasting consequences for its operation.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.649
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.309
Teacher spread0.295 · 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 teacher head, not a consensus.

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

Citations2
Published2018
Admission routes2
Has abstractyes

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