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On Being Taught

2015· article· fr· W875915771 on OpenAlexafffundvenue
Ada S. Jaarsma

Bibliographic record

VenueThe Canadian Journal for the Scholarship of Teaching and Learning · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsMount Royal University
FundersMount Royal University
KeywordsScholarshipHumanitiesSociologyEthnologyPhilosophyPolitical science

Abstract

fetched live from OpenAlex

This essay examines the definitions of the key words of the scholarship of teaching and learning (SoTL)—scholarship, teaching, and learning—in order to identify the hopes that animate SoTL research and examine these hopes in light of recent critical thinking about the corporatization of higher education. Arguing that Biesta’s (2013b) distinction between “learning from” and “being taught by” offers an important corrective to the prevailing definitions of SoTL, the essay reflects on the tensions between scholarly teaching, as understood by SoTL, and teaching as a contingent and unpredictable event. Cet essai examine la définition des mots-clés de l’avancement des connaissances en enseignement et en apprentissage (ACEA) – avancement des connaissances, enseignement, apprentissage – afin d’identifier les espoirs qui inspirent la recherche en ACEA et d’examiner ces espoirs à la lumière des pensées critiques récentes qui portent sur la tendance de l’enseignement supérieur à fonctionner comme une entreprise. Cet essai présente l’argument selon lequel la distinction faite par Biesta (2013b) entre « apprendre de quelqu’un » et « être enseigné par quelqu’un » constitue une correction importante aux définitions actuelles de l’ACEA. L’essai propose une réflexion sur les tensions qui existent entre l’enseignement intellectuel, tel que compris par l’ACEA, et l’enseignement en tant qu’événement contingent et imprévisible.

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)0.069
metaresearch head score (Gemma)0.050
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.879
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0690.050
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0150.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.007
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 head0.195
GPT teacher head0.423
Teacher spread0.228 · 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 designNot applicable
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

Citations9
Published2015
Admission routes3
Has abstractyes

Explore more

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