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Educação para a Alteridade: contribuições da psicologia analítica

2023· article· pt· W4390817152 on OpenAlexaboutno aff
Silvana Maria de Jesus

Bibliographic record

VenueCadernos Junguianos · 2023
Typearticle
Languagept
FieldPsychology
TopicPsychology and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsSociology

Abstract

fetched live from OpenAlex

The following work is a study of the process of women's individuation, specifically when becoming mothers.Starting with analytic listening in a private clinic of women who are mothers, supported by Carl Gustav Jung's theoretical references, a bibliographical review was carried out to recognize and understand the collective aspects of motherhood as a manifestation of the archetype of the Great Mother since the theme of maternity is being widely discussed in conversation circles, blogs, live streams, among other means of communication.To aid in the comprehension of this study, the analysis of elements from an Inuit mythological folk tale, Sealskin, Soulskin, has been used, following the method of dream analysis suggested by C.G. Jung since this type of narrative is considered by analytical psychology as rich symbolic material, capable of communicating with the human soul.The main character goes through some transformations, challenges, and troubles, generating images that may contribute to the comprehension of the path taken by women in motherhood.This work has shown how the study of archetypes and their expressions, as provided by Jung's depth psychology, is a big and important contribution to the understanding of female manifestations in the behavior of the woman-mother and how the connection with the inner world and the aspects of the Great Feminine may operate important transformations in a woman's life woman and society in general.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.395
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.049

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 head0.130
GPT teacher head0.451
Teacher spread0.320 · 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 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
Published2023
Admission routes1
Has abstractyes

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