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Record W4402508443 · doi:10.1016/j.tate.2024.104790

Teachers’ experiences of being unsettled within their relationships with parents: Shifting professional knowledge landscapes

2024· article· en· W4402508443 on OpenAlexaff
Sonja Lutovac, Virve Keränen, Minna Körkkö, Minna Uitto, D. Jean Clandinin

Bibliographic record

VenueTeaching and Teacher Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsUniversity of Alberta
FundersOulun YliopistoKU LeuvenAcademy of Finland
KeywordsPedagogyProfessional developmentPsychologySociologyMathematics education

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.758

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.045
GPT teacher head0.360
Teacher spread0.315 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2024
Admission routes1
Has abstractyes

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