MétaCan
Menu
Back to cohort
Record W2589381517

The Adolescent from Poland: an Autoethnographic Journey of an Immigrant Experience in Canada

2009· dissertation· en· W2589381517 on OpenAlexaboutno aff

Bibliographic record

VenueNational University System Repository (National University System) · 2009
Typedissertation
Languageen
FieldSocial Sciences
TopicRacial and Ethnic Identity Research
Canadian institutionsnot available
Fundersnot available
KeywordsAutoethnographyImmigrationGender studiesSociologyPolitical scienceGeographyPsychologyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

This thesis explores the experience of a non-English speaking, immigrant adolescent from Poland to Canada. This is a self-study, I the subject and researcher at once. I have chronicled and traced the experience of my own immigration process using the qualitative methodology of autoethnography. The exploration of personal journals, yearbook entries, and reflective analysis have led me on a journey to delve into the loss, isolation, and identity shifts which I experienced as an adolescent. Through the personal experience of the author, this type of research can bring the reader closer to the subculture being studied. While every adolescent who immigrates has their own unique experience, the introspection and evaluation provided by this autoethnography can greatly facilitate an understanding of the process of transition. The experiences and struggles I faced, and the interpretations derived from them, can provide insight for counsellors who work with this subculture and strengthen my own practice as a counsellor. The results of this study were expressed in a personal narrative in Chapter IV. Chapters I through III present respectively an introduction, a review of literature, and the research methodology. Chapter V offers discussion of the findings, recommendations for counsellors working with immigrant adolescents and concluding remarks.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.283
Teacher spread0.258 · 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 teacher head, not a consensus.

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
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueNational University System Repository (National University System)Same topicRacial and Ethnic Identity ResearchFrench-language works237,207