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Record W1673031060 · doi:10.3138/flor.29.001

Royal Mercy in Later Medieval Scotland

2012· article· en· W1673031060 on OpenAlexaffvenue
Cynthia J. Neville

Bibliographic record

VenueFlorilegium · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsDalhousie University
Fundersnot available
KeywordsVictoryThroneScotsRoyalistClassicsBattleProcessionArtSWORDAncient historyHistoryLawPoliticsPhilosophyLiteraturePolitical science

Abstract

fetched live from OpenAlex

Towards the end of October 1308, following a campaign that saw Robert Bruce secure his hold over the region of Moray, William earl of Ross found it wise to abandon the support he had to date given to Edward I of England in favour of the new king of Scots. The earl’s treason against the latter was notorious and of long standing: he had refused to recognize Bruce’s seizure of the throne in the summer of 1306, had carried fire and sword to the king’s supporters and the women of his kindred, and had been in correspondence with the enemy English as recently as the previous spring. The singular harshness and “terrible completeness” that marked Bruce’s “herschip” of the province of Buchan after the victory of royalist forces near Inverurie stands in marked contrast to the magnanimity that the king demonstrated towards Earl William himself in a public assembly held at Auldearn Castle. Here, before a large crowd of secular and ecclesiastical magnates the earl of Ross publicly confessed his offences; with joined hands and on bended knee he performed homage to Bruce and swore a solemn oath henceforth “faithfully to give [him] service, aid and counsel.” Bruce’s return gesture was an open offer of his “innate goodness, inspired mercy and special grace” and the remission of “all rancour of spirit” towards the traitor.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.308
Threshold uncertainty score0.613

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.004
Scholarly communication0.0050.002
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0340.005

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.

Opus teacher head0.021
GPT teacher head0.213
Teacher spread0.192 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2012
Admission routes2
Has abstractyes

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Same venueFlorilegiumSame topicMedieval Literature and HistoryFrench-language works237,207