Bibliographic record
Abstract
* Satire TV: Politics and Comedy in the Post-Network Era. Jonathan Gray, Jeffrey P Jones, and Ethan Thompson, eds. New York, NY: New York University Press, 2009. 283 pp. $70 hbk. $23 pbk. Humor is deUcate to dissect. If you explain a joke, it may cease to be funny and the humor falls apart. But taking apart satire leads to understanding humor's critical capacity to attack and disarm its subjects. This is especially true when it comes to the politicaUy and socially oriented humor addressed in Satire TV. Dissecting satire - and similar humor tropes such as parody and irony - requires careful work. And the editors as well as authors of this collection do just that, working to understand satire as a form of critique, as challenger to the status quo of news and politics, and as contributor to and civic discourses. The collection brings together scholars who know their objects of study weU, from The Daily Show and the complicated Stephen Colbert persona, to a slew of American comedy variety shows (Saturday Night Live, The Smothers Brothers), Canadian and British humor, participation via YouTube, and a sampling of Comedy Central programming specializing in subversive satire (to a point, as Haggins notes in regards to Chappelle's Show and its relationship to corporate priorities and audience responses). These authors draw on tools of analysis such as Bakhtin's carnivalesque framework to dissect humor (Thompson and South Park), rhetoric and discourse to situate humor within the (Morrealle and Jon Stewart), and the construction of identity through humor (Tinic and the Canadian comic Rick Mercer). Overall, the collection is a significant contribution to the study of satire in the televisual form - an area of scholarship that is in need of more perspectives, frameworks, and analyses given the proliferation of satire, subversive humor, and parody across and the Internet. Indeed, the editors argue that satire TV is a genre just like any other, with its own style, aesthetic, purposes, as well as being a genre that can facilitate a space on for political culture to play out. The editors bring much to the conversation. Gray teaches media and cultural studies at Wisconsin-Madison and is author of two other books on TV. Jones is at Old Dominion, and produced two books on new television and HBO. Thompson is as assistant communication professor at Texas A&M-Corpus Christi. Their book is organized into four sections, grouping a set of articles considering the different satirical opportunities that exist in network, post-network, and postmodern contexts, a selection exclusively focusing on the favorite sons of satire - Jon Stewart and Stephen Colbert - a grouping that addresses the deconstruction and reconstruction of figures and discourse within the realm of humor, and lastly a refreshing segment tackling the limits of satire. …
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".