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Record W4315491439 · doi:10.56583/frp.1970

„Powiedział, że w czasie stanu wojennego nie użyje broni, nawet gdyby mieli go rozstrzelać”. Sprawa podchorążego Andrzeja Wrony

2023· article· pl· W4315491439 on OpenAlexaboutno aff
Wojciech G. Polak

Bibliographic record

VenueFides Ratio et Patria Studia Toruńskie · 2023
Typearticle
Languagepl
FieldSocial Sciences
TopicPolish Historical and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCadetLawNavyImprisonmentPatriotismPrisonSupreme courtArtilleryPolitical scienceHistoryPoliticsArchaeology

Abstract

fetched live from OpenAlex

At the moment of imposition of martial law Andrzej Wrona, a fresh university graduate, was performing military service as a cadet in a military unit in Kołobrzeg. On the night of 14/15 December 1981 along with eleven soldiers he was heading in an armoured vehicle for Gdańsk. On the way, Andrzej Wrona got in conversation with accompanying soldiers trying to convince them not to use weapons against workers; he stated that he himself had not taken a rifle from the storage. On 15 December Andrzej Wrona was arrested and sentenced by the Navy Court in Gdynia to three years’ imprisonment. Having served his time in Koronowo and, later on, in Potulice, on 12 April 1983 he was released from prison. Then, as he was unable to find employment, Wrona emigrated to Canada. Only on 5 November 1991 the hearing was held before the Supreme Court and Andrzej Wrona was finally acquitted. Patriotism was a driving force for all his actions. The cadet believed that there were moments when our homeland required self-sacrifice, though the price he had to pay for his honourable and patriotic conduct was extremely high.

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)0.001
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 score0.029
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0050.006
Scholarly communication0.0070.005
Open science0.0010.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0290.010

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.

Opus teacher head0.047
GPT teacher head0.323
Teacher spread0.276 · 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
Published2023
Admission routes1
Has abstractyes

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