Episode 28 - The Sweet Hereafter (1997) (Guest: Seán Patrick Donlan)
Bibliographic record
Abstract
This episode explores Atom Egoyan's 1997 film, The Sweet Hereafter, which describes the impact of a tragic school bus accident that caused the death of 14 children on a small Canadian town. The film is based on Russell Banks’ 1991 novel of the same name (which in turn was based on a real-life bus crash in Texas). The film centers on personal injury lawyer Mitchell Stephens (Ian Holm), who travels to the town after the accident in an attempt to persuade the parents of the children to bring a negligence lawsuit. The controversy generated by the lawsuit ripples through the community and is explored through several characters in the town, including Nicole (Sarah Polley), a teenage girl who is left paralyzed from the waist down by the accident; Dolores Driscoll (Gabrielle Rose), the bus driver on the fateful, day; and various parents who have sharply conflicting views on the lawsuit. The Sweet Hereafter, however, is much more than a story about tort litigation; it explores larger philosophical questions around justice, community norms, and the role of law in addressing life’s most painful tragedies. I am joined by Seán Patrick Donlan, a Professor of Law at Thompson Rivers University in British Columbia, Canada.Timestamps:0:00 Introduction3:18 Recruiting plaintiffs for a class action lawsuit9:58 Judith Shklar’s distinction between misfortune and injustice14:20 Law and defense of community21:45 The loss of children28:52 The deposition that unravels the case39:13 Assigning blame and scapegoating47:02 More on Atom Egoyan 49:13 The role of the Pied PiperFurther reading:Banks, Russell, The Sweet Hereafter (1991)Fried, Margaret J. & Frolik, Lawrence A. “The Limits of Law: Litigation, Lawyers, and the Search for Justice in Russell Banks’ ‘The Sweet Hereafter,’” 7 Cardozo Stud. Law & Lit. 1 (1995)Menkel-Meadow, Carrie, “Can They Do That? Legal Ethics in Popular Culture: Of Characters and Acts,” 48 U.C.L.A. L. Rev. 1305 (2001)O’Neill, Timothy P., “There Will Be Blame: Misfortune and Injustice in ‘The Sweet Hereafter,’” 5 U. Denv. Sports & Ent. L.J. 19 (2008)Sarat, Austin, “Exploring the Hidden Domains of Civil Justice: ‘Naming, Blaming, and Claiming’ in Popular Culture,” 50 DePaul L. Rev. 425 (2000)Scherr, Alexander & Farber, Hillary, “Popular Culture as a Lens on Legal Professionalism,” 55 S.C. L. Rev. (2003)Shklar, Judith, The Facts of Justice (1990)Weisberg, Richard H., “‘The Verdict’ Is In: The Civic Implications of Civil Trials,” 50 DePaul L. Rev. 525 (2000)
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.039 | 0.008 |
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".