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Record W4244828134 · doi:10.1516/0020757041557656

Analyzing forms of superego functioning as mentalizations

2004· article· en· W4244828134 on OpenAlexaff
Marc‐André Bouchard, Serge Lecours

Bibliographic record

VenueThe International Journal of Psychoanalysis · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicSociopolitical Dynamics in Russia
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsId, ego and super-egoPsychologyPsychoanalysisPsychotherapist

Abstract

fetched live from OpenAlex

AbstractThe concept of mentalization seeks to understand the transformation processes of physical quantity into psychical quality through the emergence, development and organization of mental representations. Often discussed in relation to the functioning of both the id and the ego, it is here proposed that the degree of mentalization also determines the level of functioning and maturity of the hostile, self‐punitive superego. Luquet's description of four layers of thought (primary mental representations, metaprimary thinking, metaconscious intuitive thinking, conscious verbal thought) serves as a guide to explore issues of the forms of thinking involved in punitive superego activity. Technical implications are also examined to suggest that three steps can be differentiated in the developing capacity to represent the superego and to become conscious of its workings. The first objective is to help the ego observe its own activity, in the face of a still, unobserved hostile endopsychic agent (Gray, 1994). The second step is to meet the form and intentions of this agent, to facilitate its mental representation and elaboration. Achievement of the final step implies a growing capacity to take some responsibility for this hostile inner agent, once its activity is comparatively more available to self‐observation.Key words: superego functioningsuperego analysisself‐regulationmentalizationmindfulnessreflective functionmental representationpreconsciouspierre luquetpaul graythinking

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score0.666

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.020
GPT teacher head0.365
Teacher spread0.345 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2004
Admission routes1
Has abstractyes

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