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Record W2797001182 · doi:10.1177/0034523718762178

<i>Techne,</i> a virtue to be thickened: Rethinking technical concerns in teaching and teacher education

2018· article· en· W2797001182 on OpenAlex
Ying Ma

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueResearch in Education · 2018
Typearticle
Languageen
FieldComputer Science
TopicDigital Education and Society
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTechnePhronesisVirtueEpistemeEpistemologySociologyPedagogyEnthusiasmCraftPsychologyPhilosophySocial psychologyArt

Abstract

fetched live from OpenAlex

This article brings stories of teaching and learning to teach in China into conversation with Aristotle’s intellectual virtue techne and its reinterpretations. The intent is to challenge the overwhelming trend of instrumental rationality in teaching and teacher education in both China and Canada. I explore and thicken the concept of techne, one of the Aristotelian intellectual virtues, to understand what is at stake in today’s technical approaches to teaching and to imagine alternative possibilities. Aristotelian conception of techne is often translated as technical expertise, craft or skills and could to some extent justify today’s enthusiasm around technical concerns in teaching and teacher education. However, some of its contemporary re-appropriations critique and extend the restricted understanding of techne and offer educators a richer, more ethical view of techne and technical thinking in education. An interplay of Aristotelian intellectual virtues of techne and phronesis (practical wisdom) may reconnect techne to the rough ground of experience, challenge its preoccupation with instrumental ends, and assert its moral dimension.

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 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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.542
Threshold uncertainty score0.455

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.089
GPT teacher head0.449
Teacher spread0.360 · 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