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Record W2058351829 · doi:10.1080/10481885.2014.870841

Freud and the Psychoanalysis of Telepathy: Commentary on Claudie Massicotte’s “Psychical Transmissions”

2014· article· en· W2058351829 on OpenAlexaff
Marsha Aileen Hewitt

Bibliographic record

VenuePsychoanalytic Dialogues · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicReligious Studies and Spiritual Practices
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTelepathyPsychoanalytic theoryPsychoanalysisUnconscious mindParallelsMeaning (existential)OccultPsychologySubject (documents)EpistemologyPhilosophy

Abstract

fetched live from OpenAlex

Freud was interested in and eventually accepted the diverse forms of telepathic communication as psychoanalytic rather than occult phenomena, particularly as manifested in dreams. Massicotte revisits the topic of Freud and his interest in the occult in a manner that invites serious reconsideration of this aspect of his work, long the subject of intense controversy in the history of psychoanalysis. In my response to Massicotte’s paper I argue that Freud’s interest in telepathy or thought transference belongs to his psychoanalytic theories of the unconscious and transference. His approach to telepathy parallels his approach to religious beliefs: He accounts for both as creations of the human mind as individuals attempt to make sense and meaning of their real experiences. What Freud meant by telepathy is what contemporary psychoanalysis refers to as unconscious communication, and the strange, often inexplicable forms it takes in clinical contexts. For Freud, instances of telepathy or unconscious communication are to be understood contextually and relationally, revealing important data about the nature of affectively charged human relationships.

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)0.008
metaresearch head score (Gemma)0.024
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.051
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0140.038
Scholarly communication0.0080.010
Open science0.0050.004
Research integrity0.0350.036
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.024
GPT teacher head0.248
Teacher spread0.224 · 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
GenreCommentary

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

Citations7
Published2014
Admission routes1
Has abstractyes

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