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Darwin y su "Doppelgänger"

2006· article· en· W32287142 on OpenAlexaboutno aff
Frank J. Sulloway

Bibliographic record

VenueRevista de libros · 2006
Typearticle
Languageen
FieldPsychology
TopicPsychological Treatments and Disorders
Canadian institutionsnot available
FundersNational Center for Advancing Translational SciencesNational Institute of Neurological Disorders and Stroke
KeywordsPhilosophyHumanitiesArt

Abstract

fetched live from OpenAlex

1 1 14 de mayo de 1922 Sigmund Freud escribi6 a Arthur Schnitzler, el dramaturgo austriaco, famoso por sus penetrantes dramas psicol6gicos, para felicitarlo por su sexagesimo cumpleafios. En su carta Freud se preguntaba por qub, durante tantos afios, habia evitado conocer a un colega intelectual vienes cuyas ideas estimaba tanto por su semejanza con las suyas. Al responder a esta pregunta, Freud ofrecia > a Schnitzler, y le pedia a 6ste que la guardara para si. <<Creo que si le he evitado ha sido por una especie de temor a tener un sosias [Doppelgaiingerscheu] [...]. Una y otra vez, cuando me adentro ahora en sus hermosas crea-

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.191
Threshold uncertainty score0.639

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.1910.098

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 head0.022
GPT teacher head0.317
Teacher spread0.295 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2006
Admission routes1
Has abstractyes

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Same venueRevista de librosSame topicPsychological Treatments and DisordersFrench-language works237,207