The Journey towards a Teacher’s Ecological Self: A Case Study of a Student Teacher
Bibliographic record
Abstract
Abstract Transforming our educational systems to support sustainable development is a challenge that involves all levels of education – policy, curriculum and pedagogical practice. One critical dimension to look at is a teacher’s identity as it influences a teacher’s decision-making, behaviour and action. The ecological self is the concept that is used in the context of sustainability. This paper discusses the emerging ecological self of one student teacher during her initial teacher education programme. The concepts of the teacher’s self and the ecological self form a lens through which the story of this student teacher is examined. The paper focuses on one part of a broader, longitudinal study of student teachers and their understanding of pedagogy and connectedness with nature in the context of the need for reorienting teacher education towards sustainability. Sterling’s (2001) conceptual framework of ecological view on education is taken as a tool to analyse the collected data. The results indicate that deep connectedness to nature and empathy are framing the holistic view on learning, teaching and a teacher’s self.
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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.029 | 0.012 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 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; 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".