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Record W2490351703 · doi:10.1057/9781137552952_20

Life is Stationary: Mockumentary and Embarrassment in The Office

2016· book-chapter· en· W2490351703 on OpenAlexaboutno aff
Philip Jacobi

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2016
Typebook-chapter
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsComedyEmbarrassmentGlobeMusicalArtMedia studiesArt historyAdvertisingVisual artsSociologyPsychologyBusiness

Abstract

fetched live from OpenAlex

The Office, written and directed by Ricky Gervais and Stephen Merchant, was first broadcast on BBC2 on 9 July 2001. It consists of two series, with a running time of approximately 30 minutes for each of the 12 episodes, and two 45-minute Chris tmas specials. Initially troubled by low ratings, The Office narrowly avoided cancellation to become one of the most successful British comedy programmes worldwide: averaging a 22 per cent market share in its second series, it was exported first to the BBC’s international channels and, subsequently, to over 80 countries. Various international broadcasters have adapted The Office for their respective domestic markets, most prominently in the United States as The Office; other notable adaptations include Le Bureau (France), Stromberg (Germany), La Job (French Canada), La Ofis (Chile), המשרד (Israel) and Kontoret (Sweden).1 During its two-series run, it garnered numerous awards, amongst others the Best New TV Comedy Award in 2001, the Best TV Comedy Award in 2002 at the British Comedy Awards, as well as two BAFTAs for Best Sitcom and Best Comedy Performance by Ricky Gervais, who stars as the main character David Brent, in 2002. In 2003, The Office swept the Golden Globe Awards and was the first British comedy ever to win, with Ricky Gervais also receiving the award for Best Actor in a Television Series: Musical or Comedy.2 The Christmas specials were nominated for two Emmy Awards in 2005.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.915
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.032
GPT teacher head0.228
Teacher spread0.196 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations9
Published2016
Admission routes1
Has abstractyes

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