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Record W4390798751 · doi:10.56105/cjsae.v35i02.5630

Navigating Everyday Multiculturalism in the Culture Chats Writing Program

2023· article· en· W4390798751 on OpenAlexafffundvenueabout
Jing Li

Bibliographic record

VenueCanadian Journal for the Study of Adult Education · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersMitacs
KeywordsMulticulturalismSociologyPedagogyImmigrationIntercultural communicationGender studiesMedia studiesPolitical science

Abstract

fetched live from OpenAlex

Taking a grounded approach to multiculturalism and the lens of informal learning and community of practice, this study reports findings from a community-based collaborative research project that explored a group of immigrant women writers’ perceptions of and experiences with multiculturalism in a community writing workshop in Metro Vancouver, a highly multicultural and multilingual regional district in the Province of British Columbia. Drawing on observation, interviews, and written artifacts created by women writers regarding their experiences with and reflection on everyday multicultural encounters, we illustrate how learning possibilities and multilayered dimensions of multiculturalism unfolded within the quotidian intercultural setting of the writing workshop, and how the shared practices of writing and intercultural communication contributed to the construction of an ephemeral community of “hybrid knowing and knowledge.”

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)0.016
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 score0.021
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0200.012
Scholarly communication0.0090.004
Open science0.0020.014
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.036
GPT teacher head0.356
Teacher spread0.320 · 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
Published2023
Admission routes4
Has abstractyes

Explore more

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