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Record W1913330350 · doi:10.26439/persona2011.n014.258

El miedo a crecer: El síndrome de Peter Pan a través del cine

2011· article· es· W1913330350 on OpenAlexaboutno aff
Natalia Torres-Vilar

Bibliographic record

VenuePersona · 2011
Typearticle
Languagees
FieldPsychology
TopicPsychological Treatments and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Peter Pan, personaje central de la novela que J. M. Barrie escribiera en 1904, fue elevado a la categoría de síndrome por el doctor Dan Kiley, quien define los conflictos de algunos adultos que no se sienten capaces de crecer. Partiendo de la observación de que Kiley presenta una minuciosa descripción del síndrome junto a una explicación superficial, el presente estudio ofrece una mirada psicoanalítica para abordar los temas que subyacen a la formación del hoy llamado síndrome de Peter Pan. A partir del análisis de la novela original de Barrie, así como de los filmes Peter Pan (2003) y Hook (1991), se discuten algunas posibles causas del síndrome, tales como el conflicto edípico observado por Freud y su elaboración lacaniana en cuanto a la no-relación sexual; y, en relación con la imagen materna, a los miedos a la sexualidad y la muerte.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.426
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0390.004

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 head0.077
GPT teacher head0.354
Teacher spread0.277 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2011
Admission routes1
Has abstractyes

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