A School-Based Professional Learning Community Improving Equity and Inclusion for At-Risk Readers in French Immersion
Bibliographic record
Abstract
This longitudinal, mixed-methods study reports on the development and implementation of an early phonological awareness screening and intervention program for struggling emergent readers in a French immersion school in Manitoba. The program was created by a professional learning community made up of the school administrator, teachers, and clinical support staff. This paper describes the process of developing the phonological awareness program and the intervention itself. Forty-two children participated in the phonological awareness intervention that lasted 10 weeks. The intervention was given in English in kindergarten. Significant gains were found in the phonological awareness skills of the children who participated in the intervention. Results also indicated that children’s phonological awareness skills in English predicted their French reading levels in Grade 1. In addition, we provide insight into the roles played by key members of the school’s PLC through qualitative analysis of a series of semi-structured interviews. The work of the school’s professional learning community offers a model that may be implemented by other school teams to promote equity and accessibility for all learners in FI programs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".