Professional Ethics as Experienced by Student Teachers: A Neoliberal View
Bibliographic record
Abstract
Student teachers’ experiences of professional ethics, as lived practice, need to be visualized and verbalized to support their ability to develop an ethical practice. The aim of this article is to discuss the lived experiences of professional ethics from beginning teachers’ internship, based on a phenomenological study. Some of the essential meanings are interpreted in relation to the tension between responsibility and accountability that is emerging from neoliberal influences in teacher education. Inspired by Reflective Life World Research (RLR), interviews were conducted with student teachers specializing in preschool and elementary school. The empirical data was analyzed in order to determine the meanings that constitute the lived experience of professional ethics for early career teachers. By identifying the implications of professional ethics in neoliberal times, teacher educators can more easily observe and communicate the manifestations this has for teaching. Discussions and observations of professional ethics can stimulate student teachers’ learning as part of teacher education discourse.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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; both teacher heads agree on what is shown here.
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".