Living the Flourish Question: Positivity as an Orientation for the Preparation of Teacher Candidates
Bibliographic record
Abstract
In this article, the authors unpack taken-for-granted elements in a question central to their research and teaching: “What if the primary role of teachers is to learn how to thrive as educators and, in so doing, to continually co-explore and facilitate all means by which everyone in their learning communities flourishes most of the time?” As they explore a positive orientation to teaching and research, they work to understand the potential for generative and positive growth in themselves and school communities. Their article focuses upon seeking to create and sustain personal and professional flourishing at the heart of educational practice and consider how flourishing may be central to what it means to become a teacher.
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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 | 0.014 | 0.038 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.012 | 0.036 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.003 | 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".