On Social Plasticity: The Transformative Power of Pharmaceuticals on Health, Nature and Identity
Bibliographic record
Abstract
This article proposes a theoretical framework on the role of pharmaceuticals in transforming perspectives and shaping contemporary subjectivities. It outlines the significant role drugs play in three fundamental processes of social transformation in Western societies: medicalisation, molecularisation and biosocialisation. Indeed, drugs can be envisaged as major devices of a pharmaceutical regime, which is more akin to the notion of dispositif, as used by Foucault, than to the sole result of high-level scheming by powerful economic interests, a notion which informs a significant share of the literature. Medications serve as a key vector of the transformation of perspective (or gaze) that characterises medicalisation, molecularisation and biosocialisation, by shifting our view on health, nature and identity from a categorical to a dimensional framework. Hence, central to this thesis is that the same underlying mechanism is at work. Indeed, in all three processes there is an evolving polarity between two antinomic categories, the positions of which are constantly being redefined by the various uses of drugs. Due to their concreteness, the fluidity of their use and the plasticity of the identities they authorise, drugs colonise all areas of contemporary social experiences, far beyond the medical sphere. A video abstract of this article can be found at: https://www.youtube.com/watch?v=djIBY7DHKW4&feature=youtu.be.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.072 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".