“This is my way”: reimagining disability, in/dependence and interconnectedness of persons and assistive technologies
Bibliographic record
Abstract
Purpose: Postmodernism provides a radical alternative to the dominant discourses of Western societies that emphasize autonomy and independence. It suggests a reimagining of the relationship between the self and the body and the increasingly blurred boundaries between biology and machine. The purpose of this article is to explore in/dependence through a discussion of interconnectedness of persons and assistive technologies. Key messages: Drawing on postmodern theories, we discuss the interconnections inherent in disability experiences through the case example of Mimi, an adolescent girl with severe physical disabilities. We consider how Mimi, her assistive technologies and her parents can be viewed as assemblages of bodies/technologies/subjectivities that together achieve a set of practices. An examination of these various couplings suggests different understandings of disability that open up possibilities for multiple connections and reimagines dependencies as connectivities. Conclusions: Connectivity can be embraced to explore multiple ways of being-in-the-world for all persons and problematizes the goals of independence inherent in rehabilitation practices.Implications for Rehabilitation“Dependency” has a negative social connotation that is challenged by postmodern ideas of dynamic connectivity.Connectivity offers an alternative lens for conceptualizing relationships between disabled people, their technologies and caregivers.Connectivity suggests a rethinking the goals of independence inherent in rehabilitation practices.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.069 |
| Scholarly communication | 0.008 | 0.015 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".