MétaCan
Menu
Back to cohort
Record W2521662647 · doi:10.1002/crq.21184

Adapting Community Mediation for Colombian Forced Migrants in Ecuador

2016· article· en· W2521662647 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

VenueConflict Resolution Quarterly · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsCarleton University
Fundersnot available
KeywordsMediationDistrustNeutralityConflict resolutionImmigrationPolitical scienceRefugeePower (physics)Party-directed mediationSocial psychologySociologyPsychologyAlternative dispute resolutionLaw

Abstract

fetched live from OpenAlex

This article addresses the challenges of using mediation in conflicts involving immigrants and refugees by examining the case of Colombian migrants in Ecuador. It proposes ways to adapt the community mediation model to better serve migrants in conflict, enhancing mediators’ awareness and capacity to navigate cross‐cultural differences, power imbalances, distrust of state institutions, and other common challenges. Trust, access, form, and capacity of the mediation and the mediator are key dimensions of host‐migrant conflict resolution. The article suggests that using nonstate conflict resolution organizations and emphasizing relationships more than technical neutrality can improve the effectiveness of mediation involving migrants.

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)0.001
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 score0.771
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.056
GPT teacher head0.345
Teacher spread0.289 · 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