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Record W7018220219

Der Schneidige : Errol Flynn in den Gewölben des cineastischen Gedächtnisses ; Essay

2010· article· de· W7018220219 on OpenAlexaff

Bibliographic record

VenuePublication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt) · 2010
Typearticle
Languagede
FieldArts and Humanities
TopicMemory, History, Trauma, Identity
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsSubject (documents)Context (archaeology)CriticismGovernment (linguistics)Interpretation (philosophy)
DOInot available

Abstract

fetched live from OpenAlex

Als die Kinemathek in Karlsruhe noch "Kommunales Kino" hieß und im Untergeschoss der Orangerie ihren Platz hatte, da wurden während der späten 1970er im Kinderprogramm Filme gezeigt, in denen der australische Schauspieler Errol Flynn die Hauptrolle innehatte.Die Sitzgelegenheiten waren einfache Holzstühle und der Projektor stand frei am hinteren Ende des Raumes.Während er das typische Projektorrattern ratterte, hingen im Erdgeschoss berühmte Gemälde berühmter Maler: Eine sonderbare Collage von Kurt Schwitters, August Mackes "Leute am See" und Robert Delaunays Bild eines einstürzenden Eiffelturms.Nur über einen Nebeneingang konnte man in den Keller gelangen.In der Samstagsnachmittag-Kindervorstellung wurden Filme gezeigt, die zwar nicht immer ausgewiesene Kinderfilme waren, aber alt -und damit halbwegs sex-und gewaltfrei.Wenn keine Filme mit Errol Flynn kamen, wurden tschechische Märchenfilme gezeigt oder Verfilmungen von Jules-Verne-Stoffen wie "In 80 Tagen um die Welt" mit David Niven, "Reise zum Mittelpunkt der Erde" mit James Mason oder der unbekanntere, aber dafür um so phantastischere "Der Komet"."Abenteuerfilme"

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)0.002
metaresearch head score (Gemma)0.005
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 score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.008
Scholarly communication0.0060.006
Open science0.0010.003
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0080.001

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 head0.018
GPT teacher head0.203
Teacher spread0.185 · 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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