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Record W1944303746 · doi:10.25071/1920-7336.37504

Channels of Protection: Communication, Technology, and Asylum in Cairo, Egypt

2013· article· en· W1944303746 on OpenAlexvenueno aff
Nora Danielson

Bibliographic record

VenueRefuge Canada s Journal on Refuge · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeService providerPhoneService (business)Public relationsMobile phoneLiteracyQualitative researchLanguage barrierPolitical scienceInformation and Communications TechnologyInternet privacyBusinessSociologyEngineeringTelecommunicationsMarketingLawComputer scienceSocial science

Abstract

fetched live from OpenAlex

Communication between service providers and refugees about services, legal processes, and rights helps shape refugees’ experience of asylum but has, in Cairo, Egypt, been a source of misunderstandings and conflict. Based on qualitative pilot research, this paper explores the practices, challenges, and potentials of information technologies old and new in facilitating access to asylum in this southern city. Interviews with refugee and service providers and review of previous technology-based initiatives show that although service providers tend to rely on oral information transfer, other channels—print, phone, text messaging, websites, social media—hold significant capacity for growth. Existing practices and initiatives in Cairo demonstrate the potential for technology-based projects to overcome the geographic barriers of the urban setting and the range of literacy and languages in Cairo’s refugee communities. However, service providers and refugees require further funding and institutional support if this potential is to be realized.

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 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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.984
Threshold uncertainty score0.955

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.251
Teacher spread0.240 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations30
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueRefuge Canada s Journal on RefugeSame topicMigration, Refugees, and IntegrationFrench-language works237,207