A Flexible Approach to Math Instruction in the Middle Years TEACHING AND LEARNING RESEARCH EXCHANGE
Bibliographic record
Abstract
This research was partially funded through a grant from the McDowell Foundation. However, the points of view and opinions expressed in project documents are those of the authors and do not necessarily reflect the views of the Foundation. The purpose of the Dr. Stirling McDowell Foundation for Research into Teaching is to fund research, inquiry and dissemination of information focusing on instruction (both teaching and learning) in the context of the public elementary and secondary education system. Specifically, it will: 1) contribute to knowledge about teaching and learning; 2) encourage educational inquiry through a wide range of methodologies; 3) support the involvement of practising teachers in active research projects; 4) encourage organizations as well as individuals to determine and act in areas of research and inquiry; and 5) encourage experimentation with innovative ideas and methodologies related to teaching and learning. The Foundation is an independent charitable organization formed by the Saskatchewan Teachers ’ Federation in 1991. It is governed by a Board of Directors with the assistance of an Advisory Committee of representatives from the educational and business communities. The selection and evaluation of projects funded by the Foundation is carried out by a teacher-led Project Review Committee. Inquiries concerning research supported by the McDowell Foundation may be directed to the following address:
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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 | 0.097 | 0.053 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.011 | 0.015 |
| Scholarly communication | 0.022 | 0.019 |
| Open science | 0.005 | 0.040 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.023 | 0.004 |
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".