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Record W4402168417 · doi:10.32920/26871475.v1

Student's Guide to Research on Filipinx/a/os in Canada: A Scoping Literature Review

2024· preprint· en· W4402168417 on OpenAlexaffabout
Jann Ko Din

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Vocal Communication and Behavior
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsEngineering ethicsPolitical scienceLibrary scienceMedical educationSociologyEngineeringMedicineComputer science

Abstract

fetched live from OpenAlex

This Major Research Paper (MRP) serves as a guide for students interested in conducting research and advocacy with Filipinx/a/os communities in Canada. Through a scoping review of recent scholarly articles available at Toronto Metropolitan University's online library catalog, this study simulates the initial research process for students. A thematic analysis of the literature outlines four prominent themes: labour migration; health(care); immigrants and immigrant families; and diasporic identities and experiences. Students are recommended bodies of work from Critical Filipinx/a/o Studies, an emergent interdisciplinary field that enriches and expands on the literature reviewed and provides critical insights on the diverse identities and experiences of Filipinx/a/os in Canada.

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)0.011
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.975
Threshold uncertainty score0.415

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0250.046
Science and technology studies0.0060.003
Scholarly communication0.0060.004
Open science0.0030.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0580.019

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 head0.089
GPT teacher head0.474
Teacher spread0.385 · 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.

Study designSystematic review
Domainnot available
GenreReview

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
Published2024
Admission routes2
Has abstractyes

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