Of Trilogies and Triangles: Adultery in Arthur Stringer’s Prairie Stories and Mazo de la Roche’s Whiteoak Chronicles
Bibliographic record
Abstract
Critical commonplace has it that sequels, trilogies, series, and chronicles are primarily motivated by economic factors, but in reality, the series form allows the author to push the parameters of his or her exploration further with each revisiting. At the junction between romance and realism, Arthur Stringer’s Prairie Stories (1915-22) and Mazo de la Roche’s Whiteoak Chronicles (1927-40) address the issue of adultery, illustrating how the same act of infidelity can provoke different consequences. Comparing the two series, it becomes clear that de la Roche capitalizes more fully than Stringer on the possibilities afforded by the autographic series. More specifically, by expanding her initial narrative over several volumes (rather than limiting herself to a trilogy) and by beginning with actual rather than threatened adultery, de la Roche can address long-term repercussions of adultery in addition to its immediate effects. Consequently, she is able to analyze the adulterous triangle in a way that is more psychologically sophisticated than Stringer does.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.024 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".