Under Duress Women Caught in a Web of Discourses
Bibliographic record
Abstract
In early 2001, a 12-month-old Edmonton baby clad only in a diaper and t-shirt wandered outside on a freezing winter night where the temperature was-23 degrees. She was found frozen to the bone two hours later and was rushed to hospital. She not only survived, but made a rapid recovery, much to the amazement of medical and lay observers. The baby, Erika Nordby, became a legend. The response to the case of Erika was dramatic. The entire country focused on her rescue and recovery. Almost immediately, however, a parallel story began to unfold: this one was about Erika's mother, Leyla, and specifically, about her mothering. The case was profiled in Saturday Night (Moher, 2001) in an article suggesting the real "miracle " was about to occur: for Erika to survive her social circumstances and grow up healthy. Leyla's mothering was suspect because she was single, Aboriginal and temporarily homeless. A mixture of events and factors emerged to fill out a picture of a mother who was, in general terms, less than perfect. However, the assumptions about her and her childwere
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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 | 0.009 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.023 | 0.053 |
| Scholarly communication | 0.016 | 0.018 |
| Open science | 0.001 | 0.014 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 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".