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Record W3205158688 · doi:10.1093/jrs/feab097

Life after violence in North India: Islamic relief organizations and transactional relationships in a plural humanitarian space

2021· article· en· W3205158688 on OpenAlex
Catherine Larouche

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Refugee Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsIslamPluralSociologyIdeologyTransformative learningTransactional leadershipPower (physics)Political economyPolitical sciencePublic relationsLawPoliticsGeography

Abstract

fetched live from OpenAlex

Abstract Religious humanitarianism is often closely scrutinized, as it is either viewed as exerting a positive influence in post-conflict contexts—through peace-building and sense-making—or a negative one—through proselytism and division. This article contends that both these (negative and positive) perspectives on the role played by religious organizations overemphasize, to a certain extent, their transformative power in post-conflict contexts, at least in the short term. Based on ethnographic fieldwork with both Islamic and non-confessional humanitarian organizations supporting internally displaced people—victims of anti-Muslim violence in Muzaffarnagar, India—I suggest that the inherent plurality and competitive dimension of the humanitarian field leads to a form of transactional relationship between displaced people and organizations and tends to reduce the importance of ideological differences between organizations. Paying attention to this particularity of the humanitarian field and how displaced people deal with it can provide us with a better understanding of the actual influence of religious humanitarianism in post-conflict contexts.

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)0.001
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 score0.291
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.020
GPT teacher head0.287
Teacher spread0.267 · 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