Bibliographic record
Abstract
The current paper is a small-scale study on the core elements of professional identity (PI) issues among English as a second language (ESL) teachers. The study highlights the significance of professional identity, and the compromise and transformation ESL teachers undergo during their careers. Qualitative exploratory research methodology is applied in the investigation involving five ESL teachers. Semi-structured face-to-face interviews were conducted to explore the potential factors that have impacted English teachers’ professional identity. The study revealed the impact of top-down policy implementation, the significance of professionalism, unstructured overseas educational setup, and workplace challenges on the professional identity of English teachers. The findings of the study highlighted several key areas that had a positive as well as a negative impact on the PI of ESL teachers. ESL teachers’ adherence to their individuality and teaching philosophy in spite of facing different challenges, time and teaching experience of ESL teachers, culturally diverse working environment, and teachers’ evaluation system emerged as positive factors in PI development. However, the study also drew special attention to ESL teachers’ PI primarily getting affected by the imposition of a central policy system on ESL teachers, ignoring ESL teachers’ voices without taking their feedback into consideration, lack of awareness to foster positive professional relationships among peers and working in the overseas broken educational system. The study concluded that ESL teachers need their independent professional space to utilize their teaching capabilities and share their experiences to have an influential professional identity. However, due to the small number of participants a larger study would be better in unfolding in detail the causes behind the professional identity crises of ESL teachers.
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.
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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".