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Record W7045973953

Bullying, Ethnic Discrimination or Both? A Phenomenological Study of the Experiences of Immigrant Adolescents

2011· dissertation· en· W7045973953 on OpenAlexaboutno aff

Bibliographic record

VenueTSpace (University of Toronto) · 2011
Typedissertation
Languageen
FieldSocial Sciences
TopicRacial and Ethnic Identity Research
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationAcculturationEthnic groupInterpretative phenomenological analysisEthnic discriminationFace (sociological concept)Ethnic culture
DOInot available

Abstract

fetched live from OpenAlex

The present study explored the experiences of victimization and immigration among immigrant youth in the Peel region in Ontario, Canada. Victimization included the experiences of bullying and ethnic discrimination in the school environment. The study utilized a phenomenological approach to investigate how immigrant youth interpreted their experiences and whether they identified victimization as bullying, ethnic discrimination or both. The effects of victimization on adaptation and acculturation were also explored. Results from individual interviews of six youth (ages 16 or 17) indicated that immigrant youth viewed bullying and discrimination as separate constructs. Themes that emerged from the interviews included the importance of language proficiency; the role of peer affiliations; and factors associated with resiliency. It was evident through their descriptions that immigrant youth face unique challenges, which include adjusting to a new culture and country of residence, establishing a new social circle, and gaining comfort in utilizing the English language.

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 score0.140
Threshold uncertainty score0.278

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 studies0.0090.007
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.080
GPT teacher head0.360
Teacher spread0.280 · 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

Citations1
Published2011
Admission routes1
Has abstractyes

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