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Record W2970894656 · doi:10.4000/jtei.2185

Inside Digital Dinah Craik: Feminist Pedagogy, Cognitive Apprenticeship, and the TEI

2019· article· en· W2970894656 on OpenAlex

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.

Bibliographic record

VenueJournal of the Text Encoding Initiative · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsUniversity of CalgaryUniversity of Victoria
Fundersnot available
KeywordsApprenticeshipGenerosityCognitive apprenticeshipSociologyPedagogyFlexibility (engineering)HumilityPsychologyLinguisticsPhilosophyTheologyManagement

Abstract

fetched live from OpenAlex

In this essay, we describe our collaborative work as students and teachers on a TEI edition of Dinah Mulock Craik’s correspondence. Inside Digital Dinah Craik, our pedagogy is collaborative and inclusive, attentive to the material conditions of both the text and our labor, and is reproducible. We follow a cognitive apprenticeship model of education that emphasizes a community of practice where learners become increasingly proficient until, ideally, they are no longer apprentices but genuine collaborators. In this paper, we demonstrate how the five stages of apprenticeship learning—modeling, approximating, fading, self-directed learning, and generalizing (Hansman 2001, 47)—help us to foster what scholars such as Anne Balsamo, Elizabeth Losh, Jacqueline Wernimont, Laura Wexler, and Hong-An Wu call the “foundational ethical principles” (Balsamo 2011, 162–3) and “feminist virtues” (Losh et al. para. 26) of collaboration—confidence, humility, flexibility, integrity, and intellectual generosity.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score0.581

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.032
GPT teacher head0.274
Teacher spread0.242 · 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