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Record W4255389750 · doi:10.32920/ryerson.14651889.v1

Resilient Teens: Social Exclusion of Parents and Impact on the Second Generation Eritrean Youth

2021· preprint· en· W4255389750 on OpenAlexaffabout
Fatma Ahmed Hassan

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicAfrican history and culture analysis
Canadian institutionsToronto Metropolitan UniversityUniversity of Toronto
Fundersnot available
KeywordsDisadvantageSettlement (finance)Social exclusionPolitical scienceYouth studiesEconomic growthSociologyCriminologyGender studies

Abstract

fetched live from OpenAlex

This paper investigates the experiences of eight Eritrean youth between the ages of 19-28 living in Toronto, with the purpose of contributing to existing literature on factors affecting the successful integration of second generation racialized youth. Literature on the integration and overall success of second generation racialized youth is growing in Canada, but addressing the experiences of Eritrean youth has garnered no scholarly interest. This is largely a result of little to no information on who the Eritrean community is, how it is integrating in Canadian society, and what kinds of settlement patterns it has followed in Canada. This study opens avenues of research opportunity on this community and seeks to explore, albeit in a limited fashion how the parents’ experiences with settlement and integration affects their children, if at all. My research suggests that the parents’ experiences with social exclusion, in the form of socio-economic disadvantage have in fact important implications for their Canadian children.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.456
Threshold uncertainty score0.907

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0100.003
Scholarly communication0.0040.001
Open science0.0010.004
Research integrity0.0010.002
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 head0.048
GPT teacher head0.305
Teacher spread0.257 · 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 designObservational
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

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