MétaCan
Menu
Back to cohort
Record W2905659833

Overlapping Networks. Beguins, Franciscans, and Poor Clares at the Crossroads of a Shared Spirituality

2017· article· en· W2905659833 on OpenAlexaboutno aff
Delfi I. Nieto-Isabel

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSpiritualityHeresySAINTOrder (exchange)Identity (music)Quarter (Canadian coin)HistoryPeriod (music)Patron saintReligious studiesPhilosophyAestheticsTheologyArt history
DOInot available

Abstract

fetched live from OpenAlex

During the last quarter of the thirteenth century, the Order of Saint Francis underwent a crucial period in the definition of its own identity, while, at the same time, lay communities of men and women were already sensitised both to the idea of spiritual poverty and to the Joachite prophecies announcing the advent of a new era of illumination. In the case of southern France, the influence of Spiritual Franciscans at the beginning of the fourteenth century was undeniable, so much so that their extreme pauperistic discourse and their apocalyptic expectations pervaded lay society, resulting in the Beguin movement of Languedoc that would ultimately be persecuted as heretic. It is a fact that the region was also crowded with Clarissan convents, but, apparently, Spiritual Franciscans and Poor Clares remained within independent spiritual spheres. The goal of this paper is to outline the diaspora of the Beguins of Languedoc and the persecuted Spiritual Franciscans in order to search for the confluence between them and the female rigorist branch that shared their same spiritual roots, that is, the Order of Saint Clare.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.037
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0100.015
Scholarly communication0.0050.005
Open science0.0010.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.018
GPT teacher head0.237
Teacher spread0.219 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueDialnet (Universidad de la Rioja)Same topicHistorical Studies and Socio-cultural AnalysisFrench-language works237,207