<scp>H</scp>eidegger, <scp>G</scp>estell and rehabilitation of the biomedical model
Bibliographic record
Abstract
The biomedical model is the foundation upon which current evaluations in clinical practice are based. In the quest for objective evidence to support clinical interventions, the patient is reduced to a number of technologically generated variables that serve as a surrogate for the patient herself. The biomedical model, as a reflection of Gestell or the essence of technology, carries with it the danger that it may overwhelm the practitioner's perspective so that other perspectives that may include the lived experience of the patient are actively suppressed. An ontology of the patient based on a Heideggerian exegesis is developed as a response to this concern. Morris has suggested that the most fundamental disturbance in the lived experience of the patient is an alteration in the patient's relationship to ecstatic temporality. In ecstatic temporality, the past, present and future are experienced as a unity in which the patient sees herself as her own possibility. Access to this experience is disturbed in illness; the future is no longer experienced as the patient's own possibility but rather as a series of predetermined external events that dictate the patient's affairs. By developing a biologically plausible model of ecstatic temporality, the lived experience of the patient does not have to be considered separate from the physical mechanisms involved in the disease state. As a consequence, the biomedical model cannot suppress the practitioner's humane perspective since the latter is explicitly brought under its purview.
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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 | 0.004 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.095 | 0.027 |
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".