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Record W7036395154

Before and after September 11 Review of the television year in 2001

2002· other· de· W7036395154 on OpenAlexaboutno aff

Bibliographic record

VenueOpenGrey (Institut de l'Information Scientifique et Technique) · 2002
Typeother
Languagede
FieldArts and Humanities
TopicGerman History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsDowntownTerminal (telecommunication)SkylineQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Der streng chonologisch angelegte Jahresrueckblick kommentiert jeweils Fernsehsendungen im oeffentlich-rechtlichen wie im privaten Rundfunk, die neue Formate darstellten, Trends widerspiegelten und/ oder medienpolitische Diskussionen ausloesten. Zur Hintergrundinformation werden ausserdem medienpolitische, -oekonomische oder -rechtliche Ereignisse eroertert und ihre moeglichen Auswirkungen auf die kuenftige Fernsehlandschaft diskutiert. Zu den positiven Ueberraschungen des Fernsehjahres zaehlte Kaya Yanar mit seiner SAT.1-Show 'Was guckst Du?', der zweiteilige Fernsehfilm 'Der Tunnel' auf SAT.1 oder der Dreiteiler 'Die Manns -Ein Jahrhundertroman' auf ARTE bzw. der ARD. Zu den Flops zaehtlen hingegen z.B. die Neuauflagen der Reality-Shows wie 'Girls Camp' (SAT.1) oder 'House of Love' (RTL), die gescheiterten Comebacks von Margarete Schreinemakers ('Big Diet', RTL II) und Juergen von der Lippe ('Blind Dinner', SAT.1) oder der peinliche 'Luder'-Auftritt in 'Wetten dass ...?'. Dominierendes Fernsehereignis des Jahres war aber zweifellos die Live-Berichterstatung ueber die Terroranschlaege auf New York vom 11. September. Hierbei verschwand fuer den Zuschauer gelegentlich die Grenze zwischen Realitaet und Fiktion, das Fernsehen erlebte eine makabere Sternstunde und erfuhr zugleich seine dramaturgischen Grenzen. (KB)

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)0.008
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: Review · Consensus signal: none
Teacher disagreement score0.132
Threshold uncertainty score0.443

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.007
Science and technology studies0.0020.001
Scholarly communication0.0070.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1320.045

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 head0.246
Teacher spread0.228 · 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
GenreReview

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
Published2002
Admission routes1
Has abstractyes

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