Between Science and Experience: A Hermeneutic Phenomenological Analysis of Addiction Theories Through Gadamer
Bibliographic record
Abstract
This paper examines two competing approaches to the study of addiction: the neuroscientific model which conceives of addiction as a brain disease, and the phenomenological critique of neuroscience, which appeals to lived experience. I employ Gadamer’s rich hermeneutic contribution to the phenomenological tradition in order to generate more fruitful dialogue between these competing models. Gadamer’s critique of the leveling of language in science is employed to counter neuroscientific claims to objectivity, while his redescription of the constructive role of prejudice in understanding is employed to highlight inadequacies in the phenomenological critique of neuroscience. Ultimately, I propose a fusion of these contested horizons which can generate richer clinical practice—reimagining the role of addiction recovery as helping individuals interpret and understand their experience of addiction toward new ways of being in the world.
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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 | 0.011 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.008 | 0.069 |
| Scholarly communication | 0.010 | 0.017 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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".