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Record W2054212342 · doi:10.1177/0886109915572845

Understanding Community Resilience Through the Accounts of Women Living in West Bank Refugee Camps

2015· article· en· W2054212342 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.

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

Bibliographic record

VenueAffilia · 2015
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsPublic Health OntarioUniversity of Toronto
Fundersnot available
KeywordsRefugeeWest bankPovertyPsychological resilienceLimitingCommunity resilienceResilience (materials science)Political scienceSocioeconomicsEconomic growthSociologyGender studiesCriminologyPsychologySocial psychologyPalestineHistoryEngineering

Abstract

fetched live from OpenAlex

Throughout the West Bank, 19 camps are home to more than 200,000 Palestinians, more than half of whom are female. The Israeli occupation and attendant poverty cause communities inside West Bank camps to live under stress and violence particularly limiting to women. Although often portrayed as “helpless victims of war,” little research has been done to explore how women understand their contributions to the resilience of refugee communities. Female refugees were interviewed about their household roles and community participation. This inquiry shows how female refugees navigate the impacts of gender on community resilience.

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)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.420
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.155
GPT teacher head0.369
Teacher spread0.213 · 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