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Record W2112026856

Fighting for Humanitarian Space: NGOs in Afghanistan

2006· article· en· W2112026856 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.255
Threshold uncertainty score0.655

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.059
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