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Record W7116886008 · doi:10.1080/1369183x.2025.2603682

Creative writing pedagogies for labour migration diasporas

2025· article· en· W7116886008 on OpenAlexafffund
Julie Ham, Yvonne Yevan Yu

Bibliographic record

VenueJournal of Ethnic and Migration Studies · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicArtistic and Creative Research
Canadian institutionsBrock University
FundersSocial Sciences and Humanities Research Council of CanadaResearch Grants Council, University Grants Committee
KeywordsCreative writingImmigrationDiasporaCreativityTransnationalismNarrative

Abstract

fetched live from OpenAlex

Domestic workers remain curiously absent from the story of Hong Kong, a story they helped to build. It is this context that informed the development of The Writer’s Toolbox, our collaboration with Migrant Writers of Hong Kong, a creative writing network founded by writers and domestic workers, Maria Nemy Lou Rocio, Ailenemae Ramos and Liezel Fernandez Marcos. This collaboration comprised three series of creative writing workshops from 2021 to 2024 that sought to develop creative writing pedagogies for migrant domestic workers. Our model was grounded in a focus on the lives and care of writers/storytellers and stories. Starting from an ethos of care for storytellers and stories allowed us to delve into the connections between craft and care, and critique as encounter and co-invention. This framework created space for stories that highlighted under-examined dimensions of labour migration. As migrant domestic worker creative writers gain visibility in literary and public arenas in Hong Kong, an attentiveness to care may allow for a greater re-visioning of the relationship between domestic workers and the city.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.791
Threshold uncertainty score0.300

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.205
GPT teacher head0.448
Teacher spread0.243 · 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.

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
Published2025
Admission routes2
Has abstractyes

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