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Record W1950415522 · doi:10.25071/1920-7336.21343

In “Virtual Dialogue” with the Somali Community: The Value of Electronic Media for Research amongst Refugee Diasporas

2006· article· en· W1950415522 on OpenAlexvenueno aff
Cindy Horst

Bibliographic record

VenueRefuge Canada s Journal on Refuge · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsSomaliRefugeeAgency (philosophy)The InternetDialogical selfGlobeSociologyPublic relationsElectronic mediaKenyaValue (mathematics)Political scienceMedia studiesSocial psychologySocial sciencePsychologyComputer scienceLawWorld Wide Web

Abstract

fetched live from OpenAlex

This article illustrates the methodological potential of electronic media such as the Internet and e-mail for research amongst refugee diasporas. It will first describe research amongst Somalis in Kenyan refugee camps, which demonstrated the importance of transnational networks in the survival of refugees in the camps. The intention of the research set-up was to provide an alternative approach to common depictions of refugees, which often ignore their agency. A focus on agency, referring to every individual’s level of choice and power, is as much a methodological decision as a theoretical or epistemological assumption, since people’s agency clearly manifests itself in knowledge creation. After describing the possible dialogical nature of academic knowledge creation, the article moves on to illustrate how electronic media can play an important role in this. There are a number of apparent advantages to the methodological use of the Internet and e-mail in research, though at the same time pitfalls should not be underestimated. Nevertheless, when studying refugee communities that are dispersed across the globe and make active use of electronic media, “virtual dialogues” provide fascinating new insights.

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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.975
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.028
GPT teacher head0.320
Teacher spread0.292 · 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.

Study designTheoretical or conceptual
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

Citations31
Published2006
Admission routes1
Has abstractyes

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