CARE TECHNOLOGIES AS A RELATIONAL PRACTICE IN ALEXANDER WEINSTEIN’S “SAYING GOODBYE TO YANG” AND JEFF LEMIRE AND GABRIEL WALTA’S SENTIENT.
Bibliographic record
Abstract
Through an analysis of the short story “Saying Goodbye to Yang” by the American writer Alexander Weinstein and the comic Sentient by the Canadian writer Jeff Lemire and the Spanish cartoonist Gabriel Walta—both of which depict the construction of care via technology in a context of profound technosocial transformation of the human—this paper examines the delegation of affective and educational functions to artificial intelligences designed or adapted to replace parental figures. In doing so, it exposes the ethical, political, and ontological tensions inherent in a world where the boundaries between humans and technological devices are increasingly blurred. Drawing on feminist and technopolitical theoretical frameworks, the analysis explores the implications of outsourcing care to artificial systems that reproduce or challenge hierarchies of gender, race, and class, and reflects on the possibilities for agency, autonomy, and reciprocity in relationships mediated by technology.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.057 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.005 |
| 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".