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In and beyond the camp

2019· article· en· W2952321962 on OpenAlexaff
Marcia Oliver, Philip Boyle

Bibliographic record

VenueOñati Socio-legal Series · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsUniversity of WaterlooWilfrid Laurier University
Fundersnot available
KeywordsMandateOperationalizationPolitical scienceRefugeeContext (archaeology)HumanitiesResilience (materials science)Refugee crisisRefugee lawCorporate governancePublic administrationSociologyLawGeographyManagementArtPhilosophy

Abstract

fetched live from OpenAlex

This paper analyzes recent changes in the policies and practices through which displaced populations are governed by humanitarian and state actors. In particular, we examine how the UN Refugee Agency (UNHCR) is increasingly operationalizing its protection mandate by linking the more longstanding logic of self-reliance with the newer idea of resilience, itself composed of both micro (individual) and macro (societal and particularly urban) strands. Using Uganda as a site of analysis, we suggest that the linking of the more entrenched concept of self-reliance with resilience is another step forward in the entwining of UNHCR’s traditional humanitarian mandate with the developmental goals promoted by other global aid organizations. Resilience emerges in this context as a policy ideal that brings together disparate strands of operational aspirations into one multifaceted objective to govern refugees both within and beyond the camp/settlement structure.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.021
Scholarly communication0.0070.006
Open science0.0010.012
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0160.002

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 head0.008
GPT teacher head0.277
Teacher spread0.269 · 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

Citations10
Published2019
Admission routes1
Has abstractyes

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