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Record W4391312574 · doi:10.33137/rr.v42i3.33406

Bertolet, Anna Riehl, and Carole Levin, eds. Creating the Premodern in the Postmodern Classroom: Creativity in Early English Literature and History Courses

2019· article· en· W4391312574 on OpenAlexaffvenue
Shaun Ross

Bibliographic record

VenueRenaissance and Reformation · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEducation, Leadership, and Health Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPostmodernismCreativityPsychologyPsychoanalysisArtLiteratureSocial psychology

Abstract

fetched live from OpenAlex

The fifth, and final, chapter both presents the aftermath of Margarida's trial and reflects on the study as a whole.In particular, Bednarski analyzes the microhistory he has just presented.In particular, he tells the reader of his reasons for a particular interpretation or line of enquiry, which complements the pedagogical strengths of this study.The case of Margarida de Portu is a fascinating one, and Bednarski's detailed archival work has yielded a rich source base.At the same time, his nuanced presentation and engaging language, together with self-reflective analysis, would work well for classroom use: particularly for advanced undergraduate students or those beginning postgraduate study.The ideal secondary source for a classroom is one that shows students what the world of scholarship looks like.Bednarski's careful analysis and remarkable self-reflexivity reveal the potential problems of a microhistory, while showing students how to assess, evaluate, and piece together problematic historical evidence.Moreover, Bednarski reminds the reader that there are further discoveries to be made and alternate ways to read evidence.From this, one can hope that Bednarski's study will encourage students to gain the skills he presents here.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.592
Threshold uncertainty score0.654

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.039
GPT teacher head0.332
Teacher spread0.293 · 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 designObservational
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

Citations0
Published2019
Admission routes2
Has abstractyes

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