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Record W2181895479

Towards a Diasporic Epistemology: How Filipino Canadian Young Men Make Sense of Educational Success and Failure

2012· dissertation· en· W2181895479 on OpenAlexaboutno aff
Tawnee Collymore

Bibliographic record

VenueTSpace (University of Toronto) · 2012
Typedissertation
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsSociology
DOInot available

Abstract

fetched live from OpenAlex

This thesis forwards the concept of “diasporic epistemology” in order to better understand how Filipino Canadian young males make sense of their educational success and failure. Diasporic epistemology means a dual frame of reference created by the intersection of both structural and cultural conditions specific to a particular diaspora. To investigate this concept, I examined the interview transcripts of six Filipino Canadian young men using the constructivist approach to grounded theory. My research reveals that school structure and Filipino consciousness play a significant role in educational success and failure. Situating my thesis within the academic fields of epistemology, intersectionality, and student achievement, I contend that understanding the diasporic epistemology of racialized minority and immigrant students challenges certain truism in educational research, such as current belief that family’s socio-economic status and parental education are predictors of students’ academic success. The implications for education are greater teacher-student-home relationships and alternative schooling methods

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)0.006
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 score0.117
Threshold uncertainty score0.236

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0320.027
Scholarly communication0.0100.005
Open science0.0020.008
Research integrity0.0010.003
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 head0.016
GPT teacher head0.290
Teacher spread0.274 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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