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Record W3035586923 · doi:10.29173/pandpr29397

Pedagogy: A Teacher’s Practice

2020· article· en· W3035586923 on OpenAlexaffvenueabout
Andrew Foran, Dan Robinson, Margareth Eilifsen, Elizabeth Munro, Tess Thurber

Bibliographic record

VenuePhenomenology & Practice · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsPedagogyIdentity (music)Teacher educationLived experienceNova scotiaMathematics educationResistance (ecology)Phenomenology (philosophy)PsychologySociologyEpistemology

Abstract

fetched live from OpenAlex

Neoliberal assaults upon public education have been grounded upon the supposition that schools are failing to prepare students to respond to local and global economic needs and realities. The result has left the relational between pupils and teachers as a taken-for-granted practice. Lived experiences often can show and capture the unexpressed in taken for granted moments. This discussion presents teaching as relational moments, shared between beginning teachers and pupils. We employ a phenomenological sensitivity as we unravel the anecdotal evidence to bring into language a “lived through” dimension of human relations. As teacher educators, we ask: what is experienced when relationality is the focus for beginning teachers? The importance of this question is due to the prevalence of neoliberal forces that now guide, and to large extent, control what it means to teach in schools across Canada. In an effort to understand this emerging view of teaching, we explore what four preservice teachers from Nova Scotia experienced in becoming teachers, as they completed their final Field Experience in Bergen, Norway. We share these anecdotal representations to help teachers see how the relational informs identity in becoming a teacher and allows teacher educators to deconstruct the “taken-for-granted-ness” of teaching stuck in the rational-technical model.

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)0.001
metaresearch head score (Gemma)0.024
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.919
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.024
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)0.0010.002

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 head0.221
GPT teacher head0.480
Teacher spread0.259 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2020
Admission routes3
Has abstractyes

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