“Same Old Ed, . . . Uncommitted”: BMW Socialism and Post-Roguery in Guy Vanderhaeghe’s Early Fiction
Bibliographic record
Abstract
In this paper I assess how Guy Vanderhaeghe’s early fiction criticizes the class-based and civil movements of post-1960s Saskatchewan through the recurring character of Ed. The protagonist of “Man Descending” and “Sam, Soren, and Ed” from Man Descending, the uncollected “He Scores! He Shoots!” and the novel My Present Age, Ed both condemns and epitomizes the contaminated and seductive gestures of the movements’ influences and enterprises. Vanderhaeghe deploys layers of social criticism: the first comments on the new urban progressive generation—the BMW socialists—while another manifests a counter-criticism that comments on those who challenge social progress, questioning their motives and the credibility of their critique. But what is a BMW socialist? A sociopolitical chameleon hiding behind pretense? Ed describes such a creature as a former “nay-sayer and boycotter” who “intended to dedicate his life to eternal servitude in a legal-aid clinic,” but then “affluence did him in” and now “his ass [is] cupped lovingly in the contoured leather seats of his BMW” (Man Descending 237–38). Vanderhaeghe’s early works criticize the contemporary middle class and progressivist movements of the second half of the twentieth century through this sociopolitical rogue—who in turn becomes a post-rogue. For Ed is ironically undercut by a counter-narrative that is often sub-textual, resulting in a fascinating appraisal of social ignorance, immobility, and unproductivity rather than of any specific ideology.
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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 | 0.001 |
| Science and technology studies | 0.012 | 0.023 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".