Bibliographic record
Abstract
A Psalter from the third quarter of the fifteenth century is preserved in the collections of St Patrick’s College now housed in the Russell Library at Maynooth, Co. Kildare, Ireland. The psalter was evidently made in a Benedictine monastery in south-west France, probably Poitou. One particular saint occurs in both the calendar and the litany. St Rigomer, though little known elsewhere, was specially venerated at Maillezais in the marshes of bas-Poitou, where the abbey, founded c.1000, was provided with incoming funds from pilgrims by the transfer there of the saint’s relics c.1020, and they were given a place of special importance in the chapel to the south of the main altar. The monks at Maillezais had a good library of which there is a catalogue from the end of the twelfth century. Of the small number of these books that still survive one is identified as a Maillezais book because it includes a mention of St Rigomer. It is extremely likely that the psalter now at Maynooth came from Maillezais. This journey cannot have been direct. Maillezais suffered heavily in the Hundred Years War and the French Wars of Religion and the books from the monks’ library were probably dispersed in the 1560s. What happened to the psalter between this time and when it arrived in Maynooth probably in the first half of the eighteenth century is moot, but we can now be reasonably certain of its place of origin as well as knowing where it is housed now.
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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 | 0.000 | 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 | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.065 | 0.010 |
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".