MétaCan
Menu
← Back to cohort
Record W4255684282 · doi:10.32920/ryerson.14657742

Identifying Cultural Strengths of Afghan Refugees as a Source of Their Resilience

2021· preprint· en· W4255684282 on OpenAlexaffabout
Venos Kohistani

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsAfghanCoping (psychology)RefugeePsychological resilienceCultural valuesPsychologySocial psychologySociologyGender studiesGeographyPolitical scienceClinical psychology

Abstract

fetched live from OpenAlex

This study examined the cultural resources of Afghan migrants and their relationship to the experience of resilience. The study explores the integration process of Afghan migrants as a way of gaining insight into their cultural values, beliefs and characteristics that play a role in facilitating their resilience. Participants in the study included six adult newcomer Afghans (1 Male and 5 Females) who have resided in Canada for over one year and under ten years. They were interviewed separately using open-ended in-depth interviews. The analysis of the interviews resulted in two core themes (1) Personal coping strategies and (2) Cultural resources as coping strategies. The results determined that Afghans utilize some aspects of cultural collectivity, as well as positive cultural values and characteristics when dealing with the adversities of settlement and adaptation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0020.001
Open science0.0000.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.037
GPT teacher head0.429
Teacher spread0.392 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations0
Published2021
Admission routes2
Has abstractyes

Explore more

Same topicResilience and Mental Health→French-language works237,207→