MétaCan
Menu
Back to cohort
Record W4312178594 · doi:10.18192/olbij.v12i1.5979

“Their Greek goes to waste”: Understanding Greek heritage language teachers’ language ideologies and instructional practices

2022· article· en· W4312178594 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOLBI Journal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsMcGill University
Fundersnot available
KeywordsIdeologyPedagogyHeritage languageNarrativeSociologySociolinguisticsPortraitPsychologyLinguisticsPolitical scienceArtVisual artsPolitics

Abstract

fetched live from OpenAlex

Framed within critical poststructuralist sociolinguistics, this narrative study sheds light on the language ideologies and practices of eight Greek heritage language (HL) teachers in Greek schools in Montreal and Toronto. Examining the teachers’ ideologies and practices is important, as they can either engage or alienate HL learners. Engaging HL learners is significant, because for many of them the Greek school is their only opportunity to use the language. Language portraits, written tasks, and semi-structured interviews were used to collect data, which were then analyzed narratively and thematically. The findings suggest that the teachers’ attitudes towards students and practices are largely shaped by their monolingual ideologies. The need for targeted teacher training is highlighted, to ensure that HL teachers are equipped to accommodate all their students’ needs.

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)0.001
metaresearch head score (Gemma)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.133
GPT teacher head0.440
Teacher spread0.307 · 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