Good Work and Good Works: Work and the Postsecular in George Saunders’s CivilWarLand in Bad Decline
Bibliographic record
Abstract
Drawing on what American short story writer and novelist George Saunders has described as the urge toward kindness in his work, as well as its myriad allusions to Christian symbology and religiosity, this paper explores the intersection of languages of labour or “work” and religious tensions in Saunders’ oeuvre. Reading the stories of Saunders’s first collection, CivilWarLand in Bad Decline, through the lens of postsecular literary theory and Saunders’s own comments on Catholicism, we suggest that Christianity, for Saunders, is a double-edged sword: crucial to his social critique of the power structures of post-industrial, postmodern life, and yet ultimately prone, in its institutionalized forms, to cooptation by those very same power structures. Saunders’s “Center for Wayward Nuns” is a potent metaphor in the sense that it suggests that doubt and lack of agency endemic to a fragmented postmodern world do not absolve us of our ethical responsibility, and thus the Christian overtones of Saunders’ work are engaged in a compelling kind of double-critique: both of the “un-Christian” social realities of the world in which Saunders’ working poor toil, but also of the kind of extremist, fundamentalist—even corporatized—Christianity that may emerge out of those social realities.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.036 | 0.055 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".