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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".