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Record W3113247227 · doi:10.32927/zzsim.144

Tadeusz Tomasz Krasnodębski, Policjant konspiratorem. Szesnaście lat na muszce Gestapo i bezpieki [Policeman-Conspirator. Sixteen years on a sight of Gestapo and State Security]

2010· article· en· W3113247227 on OpenAlexaff
Jan Grabowski

Bibliographic record

VenueZagłada Żydów Studia i Materiały · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicPolish Historical and Cultural Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsBiographyLawPseudonymIndependence (probability theory)State (computer science)OfficerPortraitWar of independenceSpanish Civil WarHistoryArt historyPolitical scienceArt

Abstract

fetched live from OpenAlex

The book Policjant konspiratorem (a beautiful edition, in hardcover, with an art paper insert with photographs) is quite an unusual document, if only because it is the first autobiography of a blue policeman that I ever heard of. Let us begin with the author: Krasnodębski was born in Wolbórz near Piotrków Trybunalski in 1916. In the late 1930s he graduated from the police school in Mosty Wielkie and shortly before the war broke out he was on duty as a constable in Dąbrowa Tarnowska. In autumn 1939 he volunteered for the blue police and remained in the force until summer 1944. At the same time, as an underground soldier, under the pseudonym “Kostek”, he was active in the Armed Combat Union (Związek Walki Zbrojnej, ZWZ), and later in the Home Army (Armia Krajowa, AK); he infiltrated the police, forewarning his “forest” commanders about the enemies’ moves. In summer 1944, “Kostek” deserted from the police and joined the partisans. After the Red Army’s arrival, Krasnodębski was still in the underground, this time in the NIE organizationand in Freedom and Independence (Zrzeszenie Wolność i Niezawisłość, WiN). He was in hiding until the early 1950s, when he was brought before a court and accused of collaboration and murdering Jews. He was, however, exonerated and returned to normal life; he devoted himself to professional work as well as patriotic and veteran’s activity. He wrote the autobiography in the mid-1980s. This is the author’s fate in a nutshell.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0040.006
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0400.029

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 head0.011
GPT teacher head0.261
Teacher spread0.250 · 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
Published2010
Admission routes1
Has abstractyes

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