On Seasons of an Indigenous Feminism, Kinship, and the Program of Home Management
Bibliographic record
Abstract
It's early evening, a Friday night in October, and I have hauled myself off the couch to make dinner for my son and me. It's just us; the more active cooks in our family are away and the house is quiet. I've spent all afternoon immersed in scholarly literature about the history of home economics, and I chuckle at the irony as I pour premade marinara sauce over the noodles. I call up my son from the basement, where he's been immersed in his own studies, and find myself musing about our beginnings together—that spring when he arrived twenty-three years ago just as the trees were beginning to bud. I mutter about how perplexing cooking and mothering have been for me, and realize that these glimpses of me as a young mother and ponderings of how to take up increasing responsibilities as a middle-aged Indigenous “academic auntie” bookend my seasons of Indigenous feminist growth.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.024 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".