Teacher Research: Uncovering Professional Identities and Trajectories of Teacher Researchers through Narrative Research—A Colombian Case
Bibliographic record
Abstract
This work explores real-life experiences around research. Thinking of the English as a foreign language (EFL) teacher as an inquirer of the academic reality, the study presents accounts of professional identity as narrated in the life histories of three EFL teachers-researchers in a private but non-profit institution in Bogota, Colombia. This study sheds light on different institutional practices that, grounded on a community of practice, reinforce research as an inquiry process and as an opportunity for professional and institutional development. Additionally, the study also addresses issues of investment when teachers engage in this practice. The work concludes by reflecting that teachers’ professional identities as researchers are composed of experiences that have an important effect on their teaching expertise. Thus, teachers tend to alter their identities based on the relationships they establish within the community and undergo changes when previous and current experiences are put together. It is suggested that teacher education should help teachers-to-be understand these dynamics.
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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 | 0.005 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; 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".