Teaching professional identity of candidates for secondary school teachers
Bibliographic record
Abstract
Within the line of investigation over teacher’s thinking, we showwith this paper the results obtained from a research which aim was to explore the ideas and motivation of future secondary school teachers towards the teacher profession and the pedagogic training needed for being teacher in this educational stage. Through the Questionnaire about interest to teaching and initial training (Pontes, Ariza y Sánchez, 2010) we have explored the opinions of 353students of the course of initial training for teachers, comprising a quarter of the students of the past two courses of the University of Cordoba and being the last students of the CAP and the first of the Master degree. Among the results we have found that professional interests towards teaching obey to different reasons and that these reasons are related to diverse prior conceptions about the teacherprofession and its training. The results obtained contribute to the advance of the investigation about initial development of the teaching professional identity of training teachers and provide with some keys for the improvement of the initial training process of the secondary school teachers.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".