MétaCan
Menu
Back to cohort
Record W1878953358

Supporting Strategies for English as an Additional Language (EAL) in PreK-12 Education

2014· article· en· W1878953358 on OpenAlex
N. R. Prokopchuk

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Journal of Teaching and Learning · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsImmigrationDemographicsGovernment (linguistics)Diversity (politics)PopulationWork (physics)Demographic economicsEconomic growthEnglish languagePolitical scienceGeographyDemographySociologyPsychologyMathematics educationEconomicsLinguisticsLaw
DOInot available

Abstract

fetched live from OpenAlex

askatchewan has experienced unprecedented growth in the past six years. The growth can be attributed to key factors such as the economy, interprovincial migration, and a government immigration strategy that enables skilled workers to come to Saskatchewan to live, work and raise their families. Between 2008 and 2013, the province’s population increased by 100,000 and this increase has had an impact on Saskatchewan classrooms. School divisions have reported significant increases in enrolment, classroom diversity and the number of students who speak other languages and require support for English as an Additional Language (EAL). Background In 2008, provincial demographics revealed a long-term pattern of decreased population growth and a steady decline in school enrolments:

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)0.006
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation 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 score0.319
Threshold uncertainty score0.749

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.026
GPT teacher head0.454
Teacher spread0.428 · 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