Bibliographic record
Abstract
From Logos to Christos is a collection of essays in Christology written by friends and colleagues in memory of Joanne McWilliam. McWilliam was a pioneer woman in the academic study of theology, specializing in Patristic studies and internationally recognized for her work on Augustine. For countless students she was a teacher, a mentor, an inspiration. These fourteen essays are a fitting tribute to her memory. Written by recognized North American scholars, the essays explore various aspects of Christology, inviting the reader to probe the meaning and significance of Jesus Christ for today. They address a broad range of issues, including the Christology of the Acts of Thomas, Hooker on divinization, and Christ figures in contemporary Canadian culture. Teachers of theology and religious studies, pastors, and informed general readers will find the essays stimulating and instructive. They present the readers with considered, mature, and current scholarship. These are the questions that engaged Joanne McWilliam throughout her life, and she was happy to know that the critical dialogue would continue in this volume as friends and colleagues wrestled with Christological questions. For her, “In Jesus we come to know the compassion, the power, the wisdom, the love, and the faithfulness of God”.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".