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Record W2755146390 · doi:10.5465/amd.2017.0040

Organizing Refugee Camps: “Respected Space” and “Listening Posts”

2017· article· en· W2755146390 on OpenAlex
Marlen de la Chaux, Helen Haugh, Royston Greenwood

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

VenueAcademy of Management Discoveries · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsRefugeeSomaliActive listeningSpace (punctuation)Political sciencePublic relationsSociologySocial psychologyPsychologyLawCommunicationComputer science

Abstract

fetched live from OpenAlex

We examine an organizational form that has received little attention despite its social significance—the refugee camp. From an in-depth case study of the Dadaab refugee camp in Kenya, we explain how these organizations maintain social stability even though refugees live for decades in them and are deprived of the freedom to move or work outside the camp’s boundaries. Our analysis finds that refugee camps are characterized by a parallel organizational structure in which the institutional worlds of (primarily Western) camp officials and (in our case, primarily Somali) refugees coexist. Mutual dependence between camp officials and refugees enables the use of a respected space of reciprocal tolerance and minimal intrusion, and a listening post that is perceived as a legitimate communication arrangement and that acts as a safety valve. These complementary mechanisms provide the means by which to allay the otherwise high potential of severe discontent.Whiteboard Video AbstractAOM Video Player5783748258001

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.835
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.002
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 head0.017
GPT teacher head0.248
Teacher spread0.231 · 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