Making spaces in professional learning for democratic literacy education in the early years
Bibliographic record
Abstract
Literacy instruction in Canadian classrooms is entangled in neoliberal discourses that can limit teachers’ professional learning opportunities, pedagogical options, and children’s literacy options. And yet, there is hope. This chapter provides illustrations from one first grade classroom that participated in a multiple-case study of professional learning in literacy. The learning was designed to support teachers of children aged 3.8-8 years in creating multimodal literacy pedagogies. Data were collected through ethnographic and narrative methods. Analysis focused on mapping the network that produced classroom change, the children’s responses to the lesson, and the relationship to the professional learning activities. The findings suggest that the professional learning helped to create more connected literacies, joyful engagement in learning, and new relationships between children, teachers, materials, and meaning-making. The findings suggest how democratic literacy education can be fostered through professional learning spaces where teachers can exercise professional discernment and focus on children as pedagogical informants.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".