“No Perfect House”: Destabilized Domesticity by Border Crosser Annie Proulx
Bibliographic record
Abstract
Abstract To cross the carefully mediated border between the United States and Canada is to become unsettled. As a woman who has lived long-term stints in both countries, contemporary writer Annie Proulx has closely experienced this physical and emotional dislocation. In interviews, she has mentioned feeling rootless, as though a “perpetual outsider” (Lafreniere, 2009). Perhaps engendered by the lingering effect concomitant to border crossing, this rootlessness is represented in her work by transient characters and deteriorating homes. Like Proulx, her fictional characters are outsiders, an illustration of the liminality contracted by border crossing. Their dislocation serves to dismantle myths of the home and home life and to disrupt the historically established gender binary. This paper investigates how Proulx's background as a border crosser allows her the insight to write subtly yet truthfully of being unsettled so that we may read a demystification of domesticity.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.011 | 0.015 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".