"Sit-still and Shut-up": The Construction of Childhood and Classroom Management Pedagogies in a Preservice Education Textbook
Bibliographic record
Abstract
This study addresses the limitations and restrictions of approaches to classroom management that are promoted in one particular textbook that is used in Teacher Education faculties in Canada. It contributes to building an understanding of the role of textbooks in endorsing certain truth and knowledge claims about childhood and classroom management. The thesis is informed theoretically by Foucault (1977-1982), Gee (2001) and poststructuralists such as Weedon (1999). Through undertaking a discourse analysis informed by the work of Gee and Foucault, I conduct a single case study of one particular textbook to highlight the particular role of educational psychology as ‘a regime of truth’ in defining and legitimating what is to count as an effective approach to classroom management. My own autoethnographic accounts as a classroom teacher are also used and weaved throughout the analysis and serve to challenge the normative claims about classroom management made in the textbook. The implications of introducing preservice education students to only one ‘regime of truth’ concerning classroom management in terms of elaborating more socially just pedagogies are outlined. I recommend increasing access to discourse of classroom management, specifically pedagogy that position the child as ‘political agent’ with voice and potential to contribute to the management of their own education. This thesis is a part of a larger attempt to achieve equity and social justice education in which the dignities of children are respected and their voices are heard.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.037 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".