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Record W4390927044 · doi:10.1515/9781771103626-001

Preface

2015· book-chapter· en· W4390927044 on OpenAlexaboutno aff

Bibliographic record

VenuePontifical Institute of Mediaeval Studies eBooks · 2015
Typebook-chapter
Languageen
FieldComputer Science
TopicLinguistic Studies and Language Acquisition
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

This volume gathers together the proceedings of "Verba Domini: The Church and Vernacular Italian before the Council of Trent," an international workshop held in Toronto on 23-25 March 2011.Although some of the contributions have been revised for publication, and others expressly solicited for this volume, the final results are entirely faithful to the goal that animated the original workshop: to promote dialogue between the most recognized specialists of the discipline and young researchers.In 1983, just over thirty years ago, two studies of the relationship between language and religion appeared: Francesco Bruni, "Appunti sui movimenti religiosi e il volgare italiano nel Quattro-Cinquecento", Studi linguistici italiani 9 (1983): 3-30, and Vittorio Coletti, Parole dal pulpito.Chiesa e movimenti religiosi tra latino e volgare nell'Italia del Medioevo e del Rinascimento (Casale Monferrato: Marietti, 1983).The following year, Rita Librandi published her edition of Alfonso de' Liguori's Brevi avvertimenti di grammatica e aritmetica, another important contribution to the field.In 1994, Librandi published yet another decisive work, "L'italiano nella comunicazione della Chiesa e nella diffusione della cultura religiosa", a chapter in Einaudi's Storia della lingua italiana, and in 1998, Nicoletta Maraschio (in collaboration with Tina Matarrese) produced the first proper anthology of religious texts with a linguistic focus for use in the university classroom.These and other scholars came to Toronto in March 2011 to discuss new aspects of the relationship between religion and the Italian language.They met with and listened to graduate students who were at the end of the second semester of their studies -a term during which they had participated in a course I taught entitled "History of Religious Language in Italy".I am proud to offer in this volume the results of this academic event.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.890
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.100
GPT teacher head0.314
Teacher spread0.214 · 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
GenreOther

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
Published2015
Admission routes1
Has abstractyes

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