‘I felt a sense of panic, disorientation and frustration all at the same time’: the important role of emotions in reflective practice
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
For many novice teachers, their first year on the job can be a roller coaster experience of ‘ups’ and ‘downs’ as they transition from their teacher education programs to teaching in real classrooms. While to ‘ups’ are always good to experience, the ‘downs’ can be so traumatic that novice teachers can feel so stressed that their teaching is adversely impacted and burned out to the point that they consider resigning for the profession. For the most part, however, the language teaching profession has not addressed this aspect of a novice ESL (English as a second language) teacher well-being in terms of their personal and emotional investment as they transition from trainee to novice teacher in their first year. This paper attempts to shed light on the emotional experiences of three female novice ESL teachers in a university language school in Canada as they reflected during regular group discussions and journal writing during their first semester (12 weeks) as novice ESL teachers. The results reveal that the group discussions and journal writing provided a platform for the teachers to articulate their mostly negative emotions with three most frequently expressed: frustration, anger and boredom.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it