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Czy Magdalena Hofdemel miała romans i nieślubne dziecko z Wolfgangiem Amadeuszem Mozartem oraz inne dygresje na temat niemoralnego prowadzenia się kompozytora

2024· article· en· W4405918218 on OpenAlexaff
Sławomir Zonenberg

Bibliographic record

VenueStudia Historica Gedanensia · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Cultural Studies of Poland
Canadian institutionsMinnow Environmental (Canada)
Fundersnot available
KeywordsPhilosophyTheologyArt

Abstract

fetched live from OpenAlex

The article focuses on the alleged affair between Wolfgang Amadeus Mozart (1756–1791) and Magdalena Hofdemel (nee Pokorny, 1766 – after 1804), a Czech pianist and violinist, which purportedly resulted in her becoming pregnant and giving birth to an illegitimate child. onsequently, Magdalena’s husband, Franz Hofdemel (circa 1755–1791), a Viennese lawyer and court chancery clerk, out of jealousy, is said to have poisoned Mozart. This issue has long animated Mozart lovers. The community of writers on this topic can be divided into four groups. Some question the affair and thus Mozart’s poisoning. Conversely, others support the idea, with some even presenting intriguing additional information. Meanwhile, a third group argued that neither confirmation nor denial is possible, while some simply report the event without taking a stance. It can be said that the discussion presented in the article between supporters and opponents is often emotional, and evidence is generally not provided. It must be mphasized that there is no evidence for either the alleged affair or Mozart’s poisoning by Hofdemel.

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)0.000
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.003

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 head0.022
GPT teacher head0.212
Teacher spread0.190 · 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
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
Published2024
Admission routes1
Has abstractyes

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