Mark, manuscripts, and monotheism : essays in honor of Larry W. Hurtado
Bibliographic record
Abstract
Table of Contents Introduction Contributors PART ONE: MARK'S GOSPEL Chapter One: Is It as Bad as All That?: The Misconception of Mark as a Gospel Film Noir Holly J. Carey, Point University, USA Chapter Two: Early Christian Book Culture and the Emergence of the First Written Gospel Chris Keith, St Mary's University, UK Chapter Three: Jesus as God's Chief Agent in Mark's Christology Paul Owen, Montreat College, USA PART TWO: MANUSCRIPTS AND TEXTUAL CRITICISM Chapter Four: Mark, Manuscripts, and Paragraphs: Sense-Unit Divisions in Mark 14-16 Sean A. Adams, University of Edinburgh, UK Chapter Five: From Text-Critical Methodology to Manuscripts as Artefacts: A Tribute to Larry W. Hurtado Thomas J. Kraus, Independent Scholar Chapter Six: Origen's List of New Testament Books in Hom. Jos. 7.1: A Fresh Look Michael J. Kruger, Reformed Theological Seminary, USA Chapter Seven: i45 as Early Christian Artifact: Considering Staurogram and Punctuation in the Manuscript Dieter T. Roth, Johannes Gutenberg-Universitat Mainz, Germany Chapter Eight: i45 and Codex W in Mark Revisited Tommy Wasserman, Orebro School of Theology, Sweden PART THREE: MONOTHEISM AND EARLY JESUS-DEVOTION Chapter Nine: Who, What, and Why?: The Worship of the Firstborn in Hebrews 1:6 David M. Allen, The Queen's Foundation for Ecumenical Theological Education, UK Chapter Ten: Devotion to Jesus Christ in Earliest Christianity-An Appraisal and Discussion of the Work of Larry Hurtado Richard J. Bauckham, University of St Andrews, UK and University of Cambridge, UK Chapter Eleven: Hebrews and Wisdom Mary Ann Beavis, University of Saskatchewan, Canada Chapter Twelve, Christology, Martyrdom, and Vindication in the Gospel of Mark and the Apocalypse: Two New Testament Views Paul Middleton, University of Chester, UK Bibliography
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".