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Record W2954440323 · doi:10.29173/jjs38s

C. G. Jung’s Memories, Dreams, Reflections as a Source for Doris Lessing’s Briefing for a Descent into Hell

2016· article· en· W2954440323 on OpenAlexvenueno aff
Matthew A. Fike

Bibliographic record

VenueJournal of Jungian Scholarly Studies · 2016
Typearticle
Languageen
FieldPsychology
TopicJungian Analytical Psychology
Canadian institutionsnot available
Fundersnot available
KeywordsUnconscious mindVisionPsychoanalysisCollective unconsciousAnalytical psychologyDescent (aeronautics)PhilosophyBiographyArtArt historyPsychologyTheology

Abstract

fetched live from OpenAlex

Doris Lessing was conversant in Jungian psychology, and her novel Briefing for a Descent into Hell includes more Jungian elements than previous critics have identified. In particular, it is likely that she borrowed from Jung’s Memories, Dreams, Reflections when crafting her protagonist Charles Watkins’s descent into madness and return to sanity. This essay argues that the autobiography’s chapter 6, “Confrontation with the Unconscious,” and chapter 10, “Visions”—Jung’s encounter with madness and his near-death experience—provided Lessing with not only a successful nekyia by which to evaluate Watkins’s less successful inner journey but also a series of images that she reworked in the novel. Considered in light of MDR, Briefing conveys a sense of lost potential: Watkins regains his memory but, unlike Jung, forgets his vision of the collective unconscious.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.614
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.110
GPT teacher head0.439
Teacher spread0.329 · 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.

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
Published2016
Admission routes1
Has abstractyes

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