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Record W4406577516 · doi:10.1353/hsj.2023.a949919

“Schools are One Hundred Percent Different”: A Phenomenological Investigation of School Integration Among Newcomer Youth

2023· article· en· W4406577516 on OpenAlexaboutno aff
Anusha Kassan, Alissa Priolo, Michelle Tkachuk, Charis Falardeau

Bibliographic record

Venue˜The œHigh School journal/˜The œHigh school journal · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyMathematics educationMedical educationDevelopmental psychologyMedicine

Abstract

fetched live from OpenAlex

Abstract: This descriptive psychological phenomenology investigated the experiences of newcomer youth who graduated from high school and transitioned to post-secondary education following migration to Canada. Ten individuals, between the ages of 18 and 30, completed a qualitative interview about their experiences of school integration . Defined broadly, this phenomenon centers on newcomer students’ adjustment across all aspects of student life – both inside and outside the school context – including English Language Learning, academic performance, classroom behaviour, social networking, emotional and familial well-being, identity negotiation, involvement in school life, and understanding of the educational system. Results include five structures: (a) school culture; (b) teachers; (c) language transitions; (d) peer group development; and (e) family. These structures demonstrate the interconnected nature of the factors that impact school integration among newcomer youth, including those found within the school, those that straddle the school and the community, as well as those found within the home environment.

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)0.005
metaresearch head score (Gemma)0.007
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 score0.030
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0110.010
Scholarly communication0.0050.004
Open science0.0020.007
Research integrity0.0010.004
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 head0.082
GPT teacher head0.320
Teacher spread0.238 · 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
Published2023
Admission routes1
Has abstractyes

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