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Record W2922142766

Toernooi en heraldiek : Wapenboeken als het schriftelijk geheugen van de laatmiddeleeuwse adel

2017· article· nl· W2922142766 on OpenAlexaboutno aff
Mario Damen

Bibliographic record

VenueData Archiving and Networked Services (DANS) · 2017
Typearticle
Languagenl
FieldArts and Humanities
TopicCultural History and Identity Formation
Canadian institutionsnot available
Fundersnot available
KeywordsNobilityTournamentEliteHierarchyQuarter (Canadian coin)FifteenthHistoryHumanitiesSociologyPolitical scienceArtClassicsLawArchaeologyMathematics
DOInot available

Abstract

fetched live from OpenAlex

This paper analyses two late sixteenth-century armorials with the coats of arms of the 235 participants of a tournament, organized in May 1439 on the central market square, the Grote Markt, of Brussels. The armorials, trustworthy copies of a now lost original, recorded the performance of an exclusive social category in public space, and express in a distinctive visual way the internal hierarchy of the tourneying society: team leaders, leaders of large companies, leaders of of small companies, and 'ordinary' participants. The heraldic elements that were essential to this hierarchic arrangement - banners, pennons, shields – were actually used during the tournament, as well as the depicted helmets and crests. It goes without saying that these occasional rolls were important for the nobility of the Low Countries, both at the time of the tournament and at the time of their creation in the last decades of the sixteenth century. Inclusion of their coats of arms in the armorials ensured the participants of a place in the collective memory. The compilers of the armorials played an essential role in defining the nobility as a social category since participating in a tournament meant that you lived nobly and that your peers considered you as a nobleman. The two copies of the original armorial in the last decades of the sixteenth century reproduced the social classification within the nobility in the second quarter of the fifteenth century. It shows that the same mechanisms of social distinction still played a role at that time.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.033
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.005
Scholarly communication0.0130.006
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0290.004

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 head0.033
GPT teacher head0.265
Teacher spread0.232 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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