Bibliographic record
Abstract
This Christmas issue of the journal features three articles. The stimulating papers by John Evans and Robbie Mochrie were both presented at the ACE conference last July. John reports on his innovative and extensive work in estimating the economic value of the services provided by faith communities in Wales, computed to be an impressive £102.5m. The nineteenth century Presbyterian minister, political economist and moral philosopher Thomas Chalmers was aware of the positive externalities of Christian activity and argued for greater church participation in the public arena. Robbie provides a valuable introduction to the thought of Chalmers and carefully evaluates his contribution. Finally, a new member of ACE from Canada, Alan Chan, considers the case for an introductory microeconomic principles textbook that illustrates basic concepts using Christian, scriptural and ecclesiastical examples. He provides many imaginative and ingenious suggestions. Please note the advertisement overleaf for our annual small research grant competition. John Sawkins and Robbie Mochrie from Heriot Watt University successfully applied for funding this year and we look forward to further applications from members. As always, submissions for publication in the ACE journal are very welcome. Please feel free to send shorter reflection pieces as well as regular length articles and constructive replies or comments on previously published papers. A set of preferred style and formatting guidelines for contributions is published on page iv. It remains for me to wish readers many productive reflections on Christian Economics in the new year.
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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 | 0.002 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.159 | 0.101 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".