“A Strange Archaic Provision of Mercy”: The Procedural Rules for the <i>Duellum</i> under the Law of <i>Clann Duib</i>
Bibliographic record
Abstract
☼ Professor of Commercial Law, University of Aberdeen. Different aspects of this paper have been delivered at the REUNA conference in Bergen in May 2008, the Societas Celtilogica Nordica symposium in Gothenburg in June 2008, the Scottish Legal History Group annual conference in Edinburgh in October 2008, and at the Centre for Medieval Studies, University of Bergen in May and October 2009. My thanks are due to Professors Sverre Bagge and Jorn Sunde, University of Bergen, and the scholars there present, for stimulating questions and helpful suggestions. Particular thanks are due to Professor Hector L MacQueen, University of Edinburgh, for reading and discussing with me a late draft of this paper and for persuading me to reconsider some of my thinking, and to Professor Cynthia Neville, Dalhousie University, Canada, for encouraging comments, constructive criticism, and for drawing to my attention further relevant literature. Taing mhor do Cholm O Baoill agus Maria(Pia)Coira, Roin na Ceiltis is na Gaidhlig, University of Aberdeen, tha mi fada nur comain, and Dr John Carey, University College Cork, for comments and suggestions on earlier drafts. Dr Michael Wasser, Dawson College, Montreal generously allowed me sight of his as yet unpublished work on the Law of Clan Macduff in the later Middle Ages.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".