Book Review: Students Mentoring Students in K-8 Classrooms: Creating a learning community where children communicate, collaborate, and succeed
Bibliographic record
Abstract
Diane Vetter's (2023) Students Mentoring Students in K-8 Classrooms: Creating a learning community where children communicate, collaborate, and succeed is a guide for teachers to develop pedagogical approaches and classroom environments that help empower elementary students to support each other throughout the learning process.Relevant student development and related literature such as the theories of Jean Piaget (1959) are operationalized into tangible instructions for classroom activities that are further enriched by autoethnographical anecdotes from Vetter's own experience as an elementary school teacher (pp.14-19).This book is a useful resource for K-8 educators looking to promote student collaboration and leadership in their classrooms.It also has value for education researchers looking to understand the first steps in students' leadership skill development as well as capacity building for collective decision-making and action.The book contains five chapters along with a brief introduction and conclusion.The introduction illustrates Vetter's experience teaching grade two students about the tragic events on September 11, 2001, providing a heartfelt example of the potential for Book Review: Patrick xviii
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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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.021 | 0.012 |
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".