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Record W4399880282 · doi:10.55016/ojs/ajer.v49i1.54956

Grade 6 French Immersion Students' Performance on Large-Scale Reading, Writing, and Mathematics Tests: Building Explanations

2003· article· en· W4399880282 on OpenAlex
Miles Turnbull, Doug Hart, Sharon Lapkin

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

VenueAlberta Journal of Educational Research · 2003
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsMathematics educationReading (process)Immersion (mathematics)PsychologyFrench immersionPedagogyMathematicsLinguistics

Abstract

fetched live from OpenAlex

We analyzed data from Ontario's provincial testing program to ascertain if the reading, writing, and mathematics skills of grade 6 immersion students were comparable to those of regular English program students. Various immersion program designs were taken into account. The analysis confirms the results of earlier program evaluations that any lags in immersion students' achievement in reading, writing, and math disappear by grade 6. We offer two explanations to account for this result. The lag explanation holds that taking reading, writing, and math in French until the end of grade 3 creates a lag in achievement until English is introduced into the curriculum, after which immersion students catch up to regular students' performance. The selection explanation suggests that immersion test performance improves by grade 6 relative to regular English program counterparts because the composition of the grade 6 cohort is more select than that of earlier cohorts.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.753
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
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)0.0050.000

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 head0.076
GPT teacher head0.391
Teacher spread0.315 · 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