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Record W3117786716 · doi:10.25602/gold.bjmh.v6i2.1418

Tears of blood: War and Grief at the End of the 15th and the Beginning of the 16th Centuries

2020· article· en· W3117786716 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGoldsmiths (University of London) · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Emotions Research
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsSadnessGriefAngerCompassionNarrativeHistoriographyTearsSpanish Civil WarLiteratureFifteenthHistoryPsychoanalysisArtAncient historyPsychologyPhilosophyMedicineTheologySocial psychologyPsychotherapistArchaeologySurgery

Abstract

fetched live from OpenAlex

Contrary to what traditional historiography asserts, the expression of emotions was not absent from the narrative and literary sources that provide information on the condition of men of war at the turning point of the fifteenth and sixteenth centuries. While the art of war underwent unexpected metamorphoses, tears manifested mourning and sadness, but also compassion, joy or anger. They demonstrated the changing sensitivity to death, to the necessary commemoration of officers of high birth, as well as to the more humble laments linked to the disappearance of a parent, a comrade-in-arms, or even a beloved animal. A symptom of a real emotional wounds, grief also sometimes lead to murderous fury and revenge. Tears then come along with emotions considered as an objective parameter of war.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.592
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.006
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.170
Teacher spread0.154 · 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