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Record W1553899986 · doi:10.18806/tesl.v22i2.87

Multiple Perspectives on Educationally Resilient Immigrant Students

2005· article· en· W1553899986 on OpenAlexvenueno aff
Louis Chen, Lee Gunderson, Jérémie Séror

Bibliographic record

VenueTESL Canada Journal · 2005
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationPsychological resilienceSocioeconomic statusInterpretation (philosophy)PsychologyAutonomyCompetence (human resources)Social psychologyCultural competenceDevelopmental psychologySociologyPedagogyPopulationGeographyPolitical scienceDemographyLinguistics

Abstract

fetched live from OpenAlex

This study explores in an innovative manner the notion of resilience in a group of immigrant students. Structured interviews were used to explore resilience issues with immigrant students enrolled in university. Two interviewers collected and recorded data together, but conducted separate and independent analyses to explore differences in results due to their own cultural backgrounds. Findings suggest that the traditional concept of resilience - one based on studies of students from lower socioeconomic classes in school in inner-city neighborhoods that identify social competence, problem-solving ability, autonomy, and satisfaction with school as significant resilience factors - is limited. The findings in this study suggest that immigrant students represent a different pattern of resilience related to a strong cultural belief in the value of education and the support, often financial, provided by their families. Interesting differences in interpretation related to the first culture of the researches suggest that "mirrored reflections" offers one way to capture differences in data interpretation resulting from researchers' backgrounds.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.706
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.000

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 head0.014
GPT teacher head0.370
Teacher spread0.355 · 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 designNot applicable
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

Citations16
Published2005
Admission routes1
Has abstractyes

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