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Record W2090903107 · doi:10.1177/1363461509102286

From Descartes to Desipramine: Psychopharmacology and the Self

2009· article· en· W2090903107 on OpenAlexaff
Ian Gold, Lauren Olin

Bibliographic record

VenueTranscultural Psychiatry · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsMcGill University
Fundersnot available
KeywordsPsychopharmacologyNeurochemistryAntidepressantNothingDesipraminePsychologyPsychiatryCognitionPsychotherapistBiological psychiatryNeurologyEpistemologyAnxietyPhilosophy

Abstract

fetched live from OpenAlex

Despite the remarkably widespread use of the new generation of antidepressants, almost everything we know about their effects comes from animal studies and clinical trials in which the sole parameter of interest is depressive symptomatology. Almost nothing is known about the effects that antidepressants have on cognition, affect, or motivation when used over a period of months or years. Nor do we understand what effects, if any, antidepressants have on what we think of as the self. In this article, we argue that neither psychiatry nor philosophy, in their current state, are well equipped to think about these issues. In order to explore this idea, we consider the neurobiology of romantic love and its relation to antidepressant neurochemistry. This case study, we suggest, supports the view that antidepressants are very likely to have significant effects on personhood as well as the suggestion that we are in need of new ways of thinking about the self and its pathologies.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.464
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.015
GPT teacher head0.273
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2009
Admission routes1
Has abstractyes

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