Teachers’ experiences of being unsettled within their relationships with parents: Shifting professional knowledge landscapes
Bibliographic record
Abstract
In this study, we focus on exploring teachers' stories of their relationships with parents in times of digital communication. Employing the concept of teachers' professional knowledge landscape, we inquire into Finnish teachers' experiences with WILMA, a digital system used for teacher-parent communication in Finland. We discuss how teachers' experiences shaped by WILMA may disrupt their stories to live by, their identities, in relation with parents. Furthermore, teachers' stories suggest a problem for consideration in teacher education. What is called for are re-imagined ways for parents and teachers to collaborate, thus composing new partnerships on changing landscapes. • Teachers' stories of their relationships with parents in times of digital communication are explored. • The concept of teachers' professional knowledge landscape is used. • Teachers live with uncertainty and feel unsettled with parents' presence in their professional knowledge landscapes. • Teachers search for new temporal, social, and place boundaries within the professional knowledge landscapes. • Teacher education needs to urgently reimagine how teachers and parents can work together.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.015 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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; 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".