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Record W4388334210 · doi:10.24124/c677/20231866

Disaster relief aid as soft diplomacy: Case of Canadian disaster diplomacy in Nepal 2015 earthquakes

2023· article· en· W4388334210 on OpenAlexafffundvenueabout
Bala Raju Nikku, Bishwash Nepali, Sanjeev Dahal

Bibliographic record

VenueCanadian Political Science Review · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDisaster Management and Resilience
Canadian institutionsThompson Rivers University
FundersInternational Development Research Centre
KeywordsDiplomacyPolitical scienceDiasporaPoliticsEthnologyPublic administrationHumanitiesGeographyEconomySociologyLaw

Abstract

fetched live from OpenAlex

Abstract This article explores Nepal Earthquakes 2015 as a case of Canadian disaster diplomacy, tracing the diplomatic ties between Canada and Nepal. We argue that the warming up of diplomatic relations between these countries in the 50th diplomatic year sprinted Canada's support following the 2015 Nepal earthquakes. The earthquakes increased Nepali Canadians' involvement in the relief efforts, reinforced their diasporic identities, and increased their visibility as a visible minority community within the broader Asian diaspora in Canada while surfacing the political divisiveness amongst them. Against this backdrop, we ask: what lessons can be learned for Canadian disaster diplomacy efforts in the South Asian region? Based on field evidence, we argue that non-state actors, western disaster aid, and local government efforts fail to supply disaster relief in socially optimal quantities. We urge Canadian disaster aid actors to critically reflect on their aid strategies for effective help, not merely rhetoric and band-aid solutions.RésuméCet article explore les tremblements de terre au Népal de 2015 comme un cas de diplomatie canadienne en cas de catastrophe, retraçant les relations diplomatiques entre le Canada et le Népal. Nous soutenons que le réchauffement des relations diplomatiques entre ces pays au cours de la 50e année diplomatique a fait bondir le soutien du Canada à la suite des tremblements de terre de 2015 au Népal. Les tremblements de terre ont accru la participation des Canadiens népalais aux efforts de secours, renforcé leur identité diasporique et accru leur visibilité en tant que communauté de minorité visible au sein de la diaspora asiatique au Canada tout en faisant ressortir les divisions politiques entre eux. Dans ce contexte, nous nous demandons : quelles leçons peut-on tirer des efforts canadiens de diplomatie en cas de catastrophe dans la région de l'Asie du Sud ? Sur la base de preuves sur le terrain, nous soutenons que les acteurs non étatiques, l'aide occidentale en cas de catastrophe, et les efforts des gouvernements locaux ne parviennent pas à fournir des secours en cas de catastrophe en quantités socialement optimales. Nous exhortons les agences canadiennes de l'aide aux sinistrés à réfléchir de manière critique à leurs stratégies d'aide pour être mieux capable d’offrir une aide efficace, et non seulement de la rhétorique et des solutions de fortune.Keywords: disaster diplomacy, Canada, Nepal, Nepal earthquake 2015Mots-clés : diplomatie en cas de catastrophe, Canada, Népal, séisme au Népal 2015

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)0.003
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: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.457

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0300.009
Scholarly communication0.0050.001
Open science0.0010.004
Research integrity0.0030.004
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 head0.031
GPT teacher head0.366
Teacher spread0.335 · 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

Citations1
Published2023
Admission routes4
Has abstractyes

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