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Record W2915753436 · doi:10.5840/method2017811

A Reconstruction of Bernard Lonergan’s 1947-48 Course on Grace, Part 2

2017· article· en· W2915753436 on OpenAlexaboutno aff
Robert Doran

Bibliographic record

VenueMethod Journal of Lonergan Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsCourse (navigation)PhilosophyAstrobiologyEngineeringBiology

Abstract

fetched live from OpenAlex

The notes we have from Bernard Lonergan on the website www.bemardlonergan.comfor his 1947-48 course on grace at the Jesuit Seminary in Toronto (now Regis College) are in two sets.They appear at 16000DTL040 and 16200DTL040.Translations by Michael Shields, with extensive editorial work by H. Daniel Monsour, are also available on the website, at 16000DTE040 and 16200DTE040.It is difficult, and in fact probably impossible without further external guidance, to put the two sets of notes in order and to relate them to each other.Fortunately, that guidance is available in the form of notes taken by Frederick Crowe and William Stewart, who were Jesuit students in the course.Their notes, preserved by Crowe, give a very clear indication regarding the order of the course.They enable us to reconstruct the course, something that would not be possible even in piecemeal fashion if we were working only from the archival data.The course is important in Lonergan' s development.It represents in several respects an intermediate position between his 1946 systematic treatise "De ente supematurali" 1 and his contributions to a course on grace in 1951-52, again at the Jesuit Seminary. 2In the latter contribution he introduced material that would come to be known as his "four-point hypothesis"

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.068
Threshold uncertainty score0.135

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0230.006

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 head0.090
GPT teacher head0.440
Teacher spread0.350 · 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 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
Published2017
Admission routes1
Has abstractyes

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