Making it count: a narrative inquiry into one teacher's experiences supporting middle school EAL students
Bibliographic record
Abstract
This autobiographical narrative inquiry explores the teaching, learning and leadership experiences of a middle school teacher in Manitoba. My early experiences as a classroom teacher reflect my uncertainty and unpreparedness of a teacher who struggled to meet the needs of the English as an Additional Language (EAL) students who entered my classroom. As the EAL student population increased within my middle school, I began the journey of a Masters program to seek knowledge in order to support my EAL students and to help guide my colleagues towards an inclusive environment. As I explored how my experiences as a graduate student had influenced my classroom practices, and then how my experiences as an EAL specialist and school leader had influenced the school community, five main themes emerged: The use of the iPad in a mainstream classroom, the use of effective instructional strategies, the role of culture in the classroom, co-teaching practices and collaboration in a Middle School setting. Through narrative inquiry I investigated these themes and discovered new pathways to support EAL students and guide my colleagues while moving toward a more inclusive classroom and school environment.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".