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Record W2750769258 · doi:10.1177/1103308817715144

‘I Am Doing a Double Thing. It Is For Me and It Is For Her’

2017· article· en· W2750769258 on OpenAlexaffabout
Erwin Dimitri Selimos

Bibliographic record

VenueYoung · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsNegotiationImmigrationEmigrationSociologyResidenceRefugeeMeaning (existential)Construct (python library)NarrativeGender studiesPrecaritySocial psychologyPsychologyPolitical scienceSocial scienceComputer science

Abstract

fetched live from OpenAlex

This article draws on 30 interviews conducted with newcomer immigrant and refugee youth in Canada to explore how they make sense of their migration and the consequences these meanings have on how they imagine their future selves. The article is based on the understanding that a key task of any immigrant is to negotiate the experiences of continuity and change indicative of the migration experience—a task that takes on unique contours for young immigrants who are simultaneously negotiating their transitions to adulthood. Analysis of the migration narratives of newcomer youth demonstrates that in making sense of their migration, young migrants draw on the general situation of their country of descent, their experiences of emigration and poignant intergenerational links to construct meaning of their lives in their new country of residence. These meanings orient their social actions and animate their life projects in their new host society.

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 score0.370
Threshold uncertainty score0.736

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.011
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.043
GPT teacher head0.365
Teacher spread0.322 · 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

Citations7
Published2017
Admission routes2
Has abstractyes

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