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
Presenting comprehensive research conducted with learners and educators in a range of settings, this volume showcases self-reflection as a powerful tool to enhance student learning. The text builds on empirical insights to illustrate how language professionals can foster critical self-reflection amongst learners of English as an additional language. This text uses ecologically sensitive practitioner research that addresses issues of both practical and pedagogical significance in the fields of TESOL, language teaching and learning, and teacher education. By synthesizing interdisciplinary research and theory, chapters show how various types of self-reflection—including guided and non-guided; group and individual forms; and written, oral, and technology-mediated reflection—can promote autonomous, self-regulated learning amongst students at various levels. Whilst offering readers a strong grounding in the theoretical and empirical knowledge that supports self-reflection, the volume gives constant attention is given to praxis, with a focus on effective pedagogical strategies and tools needed to implement, encourage, and evaluate critical learner reflection in readers’ own teaching or research. This volume will be a critical resource for language-teaching professionals interested in critical learner reflection, including in-service, pre-service, and teacher educators in the field of TESOL. Scholars and researchers in the fields of applied linguistics and language education more broadly will find this volume valuable.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 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