Sound, Presence, and Power: “Student Voice” in Educational Research and Reform
Bibliographic record
Abstract
Every way of thinking is both premised on and generative of a way of naming that reflects particular underlying convictions. Over the last 15 years, a way of thinking has reemerged that strives to reposition students in educational research and reform. Best documented in Australia, Canada, England, and the United States, this way of thinking is premised on the following convictions: that young people have unique perspectives on learning, teaching, and schooling; that their insights warrant not only the attention but also the responses of adults; and that they should be afforded opportunities to actively shape their education. Although these convictions mean different things to different people and take different forms in practice, a single term has emerged to capture a range of activities that strive to reposition students in educational research and reform: “student voice.” In this discussion the author explores the emergence of the term “student voice,” identifies underlying premises signaled by two particular words associated with the term, “rights” and “respect,” and explores the many meanings of a word that surfaces repeatedly across discussions of student voice efforts but refers to a wide range of practices: “listening.” The author offers this discussion not as an exhaustive or definitive analysis but rather with the goal of looking across discussions of work that advocates, enacts, and critically analyzes the term “student voice.”
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 | 0.041 | 0.050 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.012 | 0.138 |
| Scholarly communication | 0.026 | 0.022 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".