Accounting for Disability in the Phenomenological Life-World
Bibliographic record
Abstract
This paper critically assesses Edmund Husserl's concept of the ‘life-world’, found in his Crisis of European Sciences and Transcendental Phenomenology. We argue that Husserl's phenomenology fails to consider the social and material arrangements that allow subjectivity to emerge in our shared world. We begin by outlining the concept as formulated in Husserl’s Crisis. We then entertain Husserl’s critique by his most famous student, Martin Heidegger. We suggest a reformulation of intersubjectivity, along the lines of Heidegger’s mitdasein, accounts for subjectivity as it emerges in the shared world. Next, we introduce ethnomethodology, pioneered by Harold Garfinkel, which gives sociological support to this argument. Through the ethnomethodological disability studies of A.B. Robillard, we argue that the life-world is not always as democratic as Husserl's philosophy may suggest. This shows the necessity of disability politics. We end by asking what a phenomenology sensitive to this fact might look like, in terms of both disability studies and phenomenological philosophy more generally.
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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 | 0.010 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.008 | 0.047 |
| Scholarly communication | 0.009 | 0.024 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.003 | 0.003 |
| 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".