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Record W2959821287 · doi:10.29173/jjs49s

The Psychology of Terror, American Exceptionalism, and the Greek God Pan

2014· article· en· W2959821287 on OpenAlexvenueno aff
Sukey Fontelieu

Bibliographic record

VenueJournal of Jungian Scholarly Studies · 2014
Typearticle
Languageen
FieldPsychology
TopicJungian Analytical Psychology
Canadian institutionsnot available
Fundersnot available
KeywordsAmerican exceptionalismExceptionalismArchetypeTerrorismLawSociologyMythologyLiteratureHistoryAestheticsPoliticsPhilosophyPolitical scienceArt

Abstract

fetched live from OpenAlex

This study strives to contribute to a better understanding of contemporary anxieties in American culture by applying meanings derived from mythology to panic inducing cultural phenomena. It asks if the Greek god Pan and his retinue ofnymphs metaphorically exemplify an archetypal core within an American cultural anxiety complex. The principal technical device used is Jung’s method of amplification, rendering cultural material at a more psychologically substantial level.This hermeneutic research views primary sources for and commentaries on the terrorist attacks of September 11, 2001 and the American reactions that followed. A faulty belief in American exceptionalism is examined for its contribution to thereactions by the American government and its citizens. Some consequences of American exceptionalism, as seen in reactions to 9/11, are clarified through a correlation with a metaphoric reading of Pan, the Greek nature god. Pan’s compulsion into life is considered to be a symbolic expression of an archetype that was once alive in the bold spirit of America, but has rusted into paralysis due to a lack of initiative towards contemporary problems. It was as if the government of the Unites States, starting at the top, had decided that the terrorist outrages of September 11, 2001, meant that law, custom and decency had all been suspended sine die. (Hodgson, 2009, p. 127) History …is a nightmare from which I am trying to awaken. (Joyce, 1961, p. 34)

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.697
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.005
Scholarly communication0.0000.000
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 head0.042
GPT teacher head0.385
Teacher spread0.344 · 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 designObservational
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
Published2014
Admission routes1
Has abstractyes

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