Reflections on Resilience. A Teacher’s Professional Learning Journey
Bibliographic record
Abstract
The purpose of this study is to describe and reflect on the route a teacher followed to implement an inquiry-basedprofessional learning cycle in her everyday practice and form a conceptual framework for teacher professionallearning on resilience. The teacher acted as a researcher and worked with a facilitator to explore the experience ofthree twelve-year-old migrant students with high learning performance in an urban school in Cyprus. Diverse aspectsconsidered as important determinants for their educational success and resiliency were explored through case studyresearch. The data were analysed and three main categories related to resilience were formed: emotional resistance,development of responsibility and sense of belonging. The main findings of the exploratory study were used as thecornerstone for school-based teacher professional learning focusing on methods, approaches and aspects that couldbe applied in order to strengthen all students and enhance positive impact on students’ achievement.
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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 | 0.006 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.015 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.004 | 0.012 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".