‘Me, in my class’: Teacher candidates (self-)portraits of their presence in the classroom
Bibliographic record
Abstract
Drawing on the international research program ‘Teacher presence. A Multicultural Comparison’, this paper tackles the issue of Polish teacher candidates’ representations of teacher presence in the classroom. The basis for the current study consists of drawings made by the participants in response to the task ‘Me, in my class’ and its accompanying question: What does this drawing tell me about you as an early childhood education teacher? Drawings done by the participants show not only the way in which the respondents perceive themselves and their roles as teachers but also the way in which they conceive the relationship with students in the classroom. The analysis of the collected material indicates strong institutional features embedded in the physical space of the school, where both the teacher and the students appear as typical products of the institution and where the relationship of power and subordination is still maintained. The classroom as an organized, didactic space and teacher-students relationships emerge as the two main components defi ning future teachers’ representation of teacher presence in the classroom.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".