Bibliographic record
Abstract
From the Editor: Christmas this year heralds the inaugural issue of the ACE Discussion Paper series. The motivation for switching from a journal to a discussion paper format is to facilitate the submission of contributions from authors who may also wish to publish their articles elsewhere. The first two discussion papers are supplied by new contributors to ACE. The first paper, by David Clough, Richard Higginson and Michael Parsons, is timely. It addresses the topic of sub-prime lending in the context of Jewish and Christian ethical teaching on usury. The second paper by Elissaios Papyrakis and Geetha Selvaretnam investigates the impact of growing life expectancy on church attendance and draws some interesting conclusions for church leaders. The third paper by Paul Oslington revives the roundtable debate (ACE Journal No.36, November 2006) on the state and future of Christian Economics. It includes a welcome report on a recent conference in Canada on Economics and Theology organised by Paul. Pope Benedict’s recent encyclical Caritas in Veritate addresses questions of human development and has attracted praise from across the Christian spectrum. It has been endorsed by the Center for Public Justice and some members of ACE are signatories to this endorsement. For further information, look at the following web page
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.357 | 0.223 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".