PUB TYPE Speeches/Conference Papers (150) Viewpoints
Bibliographic record
Abstract
This paper argues that the realities of school restructuring in Canada are experienced and perceived differently among different teachers, by the same teachers at different times, and between teachers on the one hand and students on the other. Realities of restructuring are often divergent and dissonant in nature. No one group has an inherently privileged or inherently superior interpretation of these realities. One cannot properly speak of the teacher's voice, only of teacher voices, and of voices that may vary for individual teachers, depending on time and place. Theoretically, the paper deconstructs the notion of the teacher's voice as something that has been made into a romantic singularity, favorably opposing it to and imposing it upon all other voices. It points to the presence of many different teacher voices and to the existence and importance of other voices as well as those of teachers. Practically, the paper identifies a need to bring together the different voices surrounding schooling: those of teachers, students, and parents alike. (Contains 55 references.) (Author/JDD) Reproductions supplied by EDRS are the best that can be made from the original document. (0
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.712 | 0.510 |
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; the direct Gemma label and the distilled Codex classifier 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".