MétaCan
Menu
Back to cohort
Record W2061619245 · doi:10.3102/0002831215574576

“If We Can’t Do It, Our Children Will Do It One Day”

2015· article· en· W2061619245 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAmerican Educational Research Journal · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and experiences of immigrants and refugees
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsGrounded theoryImmigrationThematic analysisNarrativeSalience (neuroscience)Qualitative researchSocial psychologyPsychologyCoding (social sciences)SociologyDevelopmental psychologySocial scienceGeography

Abstract

fetched live from OpenAlex

This study examined migration narratives of West African immigrants for the connections between experiences of loss and educational aspirations for their children. The qualitative design consisted of three interviews per family in which parents ( N = 20, 12 families) were asked to narrate their families’ migration histories. Transcripts were analyzed using grounded theory followed by thematic coding. Discussions of loss were markedly proximal to discussions of children’s education. Schooling was described as providing upward mobility but conflicting with education at home, which was seen as fostering traditional values. Discussion contextualizes findings using Hobfoll’s conservation of resources theory and Kagitçibasi’s family change theory. Implications include salience of loss to educational aspirations and school-family partnerships for immigrants.

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.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.765
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.104
GPT teacher head0.479
Teacher spread0.375 · 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