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Record W2078485291 · doi:10.1080/11926422.2012.709054

Canadian military involvement in humanitarian assistance: progress and prudence in natural disaster response

2012· article· en· W2078485291 on OpenAlexaffabout
Aaida Mamuji

Bibliographic record

VenueCanadian Foreign Policy Journal · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicDisaster Management and Resilience
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsEmergency managementHumanitarian aidPrudencePolitical scienceAgency (philosophy)Natural disasterPublic administrationHumanitarian interventionAdministration (probate law)Emergency responseGovernment (linguistics)National securityPoliticsPower (physics)Intervention (counseling)Public relationsBusinessLawSociologyGeographyMedicineMedical emergency

Abstract

fetched live from OpenAlex

In response to the 12 January 2010 earthquake in Haiti, Canada launched its largest international disaster-relief effort to date. The most visible aspect of its response came in the form of the over 2000 military personnel who were deployed to Haiti to assist in rescue, relief and recovery operations. As part of Canada's whole-of-government approach, this humanitarian intervention required close collaboration between the Department of National Defence (DND) and its primary civilian partners in humanitarian response, namely the Department of Foreign Affairs and International Trade (DFAIT) and the Canadian International Development Agency (CIDA). Using information from 27 confidential interviews with actors involved in the decision-making and administration of Canada's emergency humanitarian assistance, this paper investigates how the Canadian disaster-relief structure is able to facilitate a response of this magnitude, highlighting structural, ideational and decision-making features which foster interdepartmental collaboration. While the response was beneficial in many ways, however, this paper cautions against increased military involvement in disaster-relief efforts. Not only can this affect Canada's ability to uphold the humanitarian principles of responding based on needs on the ground, and in ways that are fair and impartial, it also increases the power of political leadership to shape the magnitude, timeliness and decision to intervene.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.188
Threshold uncertainty score0.802

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.291
Teacher spread0.276 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations12
Published2012
Admission routes2
Has abstractyes

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