Bibliographic record
Abstract
This paper focuses on how Inuit students responded to a Southern mathematics teaching strategy, known as number talks, in a Nunavut elementary school. Research on the effectiveness of number talks has been conducted in the elementary context (Boaler, 2015; Murata et al., 2017), yet there is little research that focuses on Inuit students’ perspectives of number talks as part of mathematics learning. The participants of the study included 10 students and their teacher in a Grade 1 classroom. Data methods included participant interviews, classroom observations, and artefacts generated in response to number talk routines. The results of this affirm what is known about the benefits of number talks and afford new understanding about how to view the teaching strategy through Inuit Qaujimajatuqangit (IQ) principles as outlined by the Nunavut Department of Education (2007). Keywords: Inuit, number talks, culturally relevant pedagogy, elementary school, Inuit Qaujimajatuqangit (IQ) principles
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".