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Record W4231804111 · doi:10.32920/ryerson.14651979

The Experiences of Homelessness among First and Second Generation South Asian Youth: Does Culture Matter?

2021· preprint· en· W4231804111 on OpenAlexaboutno aff
Saveena Saran

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsDynamismYouth studiesEthnic groupSettlement (finance)Youth cultureSociologyGender studiesQualitative researchFirst generationPositive Youth DevelopmentPolitical scienceSocial scienceAnthropology

Abstract

fetched live from OpenAlex

The successful settlement of first and second generation youth in Canada is vital to Canada’s ethnic dynamism. In spite of this, youth are sometimes wedged between two cultural worlds and two opposing sets of expectations. With the rise of transnational communities, scholars have recently started to research intergenerational conflict between first and second generation youth and their parents. This area of research is just starting to connect with issues of precarious living among newcomer youth. The purpose of this paper is to look at the experiences of homeless South Asian youth to examine whether cultural conflict has facilitated their precarious living situation. Using a qualitative approach, three interviews were conducted with South Asian youth. The youth were residing in shelters at the time of the interviews. The interviews revealed that cultural clash within the family can trigger their precarious life and their use of the shelter system.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.062
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.006
Scholarly communication0.0040.002
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 head0.021
GPT teacher head0.258
Teacher spread0.236 · 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 routes1
Has abstractyes

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