“Clear Eyes, Full Hearts, Can’t Lose”: Friday Night Lights and Victorian Fictions of Provincial Life
Bibliographic record
Abstract
Friday Night Lights, the 2006-2011 television series about a Texas high school football team, owes a debt to readers of Victorian fictions of everyday life and provincial fiction. Habituated to the quotidian, readers of Victorian fictions of provincial life are arguably the best equipped for understanding the critically-acclaimed television series, for in it, like the fiction that precedes it, hardly anything of moment happens. Plot and telos are hardly the point; the series locates its energies in the stuff of everyday life rather than in the logic of suspense. Recent work on the provincial novel helps us understand the politics of FNL in a way that goes beyond its own explicit themes of race, class mobility, and education. That both the Democratic and Republican candidates for the U.S. presidency in 2012 used the fictional team’s mantra—“Clear Eyes, Full Heart, Can’t Lose”—suggests the extent to which the ideas of the show tapped into a politics about nation. Paradoxically, the show’s deliberately provincial scope allowed it symbolically to unify the nation.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
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".