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Record W2112026856

Fighting for Humanitarian Space: NGOs in Afghanistan

2006· article· en· W2112026856 on OpenAlexvenueno aff
Lara Olson

Bibliographic record

VenueJournal of military and strategic studies · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsnot available
Fundersnot available
KeywordsAfghanHumanitarian aidMilitarizationPolitical scienceScapegoatingPublic administrationSpace (punctuation)DemobilizationLawPolitics
DOInot available

Abstract

fetched live from OpenAlex

Large numbers of NGOs implement aid projects in Afghanistan, but the two international military coalitions present, the U.S.-led Operation Enduring Freedom (OEF) and the NATO-led International Security Assistance Force (ISAF), have also made relief and reconstruction a central part of their mission. Many NGOs argue that these militaries’ role in aid and reconstruction has eroded the neutral ‘humanitarian space’ necessary to effectively meet civilian needs and suffering in this situation, endangering NGOs and perhaps ultimately delaying or undermining Afghan recovery. This article describes NGO positions on 3 key issues: 1) the problems of NGO security, 2) concerns about the militarization of aid, and 3) the public scapegoating of NGOs for the failures of the overall aid effort. It explores how many NGOs in Afghanistan are fighting to preserve humanitarian space through advocacy and dialogue with the military and donors.

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)0.004
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0220.011
Scholarly communication0.0060.005
Open science0.0010.007
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.059
GPT teacher head0.348
Teacher spread0.289 · 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 designQualitative
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

Citations50
Published2006
Admission routes1
Has abstractyes

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