MétaCan
Menu
Back to cohort
Record W4385983586 · doi:10.3726/med.2022.01.111

Arvind Thomas, <i>Piers Plowman</i> and the Reinvention of Church Law in the Late Middle Ages. Toronto: University of Toronto Press, 2019. xiv, 267 pp.

2022· article· en· W4385983586 on OpenAlexaboutno aff
Edwin D. Craun

Bibliographic record

VenueMediaevistik · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsnot available
Fundersnot available
KeywordsCanon lawLawEconomic JusticeMiddle AgesConfession (law)Legal historyPenitentialRestitutionPoetrySociologyLegal educationHistoryClassicsLiteraturePhilosophyTheologyArtPolitical science

Abstract

fetched live from OpenAlex

Abstract: As the law and literature movement in law schools reminded us several decades ago and Hans-Georg Gadamer before that, law and literature share much cultural work in common: they tackle some of the same communal problems; they interpret and revise norms for conduct; they evaluate written sources; they weigh what constitutes authority; and they both use and invite similar hermeneutical methods. This is especially so with medieval canon law and Piers Plowman . That capacious dream vision is chock full of forensic elements – trials, lawyerly debates, confessions, penalties, acts of restitution, pardons – and it is studded with so many legal terms and maxims that John Alford compiled a book-length glossary of them. From the late fourteenth century, readers have been interested in the poem’s legal language and its profound rethinking of how society can reach justice, especially in economic transactions. Now Arvind Thomas examines how the B and C versions of Piers understand legal problems somewhat differently from canon law and use legal thought in new ways for different ends, types of what he terms “reinventing” canon law. To do this, he focuses on private sacramental penance, organizing his study around the penitential process: contrition, confession, restitution, and satisfaction.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.891
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.190
Teacher spread0.171 · 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.

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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueMediaevistikSame topicMedieval Literature and HistoryFrench-language works237,207