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Record W7004830431

Opening the mouths of the dead: the spiritual psychology of C.G. Jung and Rudolf Steiner

2020· dissertation· en· W7004830431 on OpenAlexaff

Bibliographic record

VenueMspace (University of Manitoba) · 2020
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsSpiritualityConsciousnessMaterialismReading (process)Religious experienceNatural (archaeology)Mysticism
DOInot available

Abstract

fetched live from OpenAlex

In this thesis I address a dearth in psychological research that takes spirituality seriously, as the natural counterpart to materialistic approaches to the psyche. To do so I look at the role that non-human beings and the dead play in the psychological thought of C.G. Jung and Rudolf Steiner, and how these challenge the oppositional thinking present in modern psychology, particularly in conceptions of consciousness, being, life, and death. I use a close reading of Jung’s Liber Novus: The Red Book and several of Steiner’s works, along with an antithetical methodology that seeks questions rather than answers. What emerges from the work of Jung and Steiner is a reimagining of psychology as spiritual psychology, a way of life that involves questioning the oppositional thinking of ordinary waking consciousness and developing a complementary form of imaginative non-ordinary consciousness.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.010
Scholarly communication0.0020.004
Open science0.0000.001
Research integrity0.0010.003
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 head0.010
GPT teacher head0.237
Teacher spread0.227 · 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 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
Published2020
Admission routes1
Has abstractyes

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