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Why I Write about Guilt

2018· article· en· W4408629816 on OpenAlexaff
Donald Carveth

Bibliographic record

VenueClio s Psyche · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsComputer sciencePsychology

Abstract

fetched live from OpenAlex

In my forthcoming book, Psychoanalytic Thinking: Essays in Critique (London: Routledge, 2018, in press), I trace what I call “The Melancholic Existentialism of Ernest Becker” (Ernest Becker, The Denial of Death, 1973) and the related melancholic sociology of Peter Berger (The Sacred Canopy: Elements of a Sociological Theory of Religion, 1965) to the unresolved depression that prevented them from seeing the splitting and the one-sidedness entailed in their attitudes of despair and disgust. Becker and his followers in “terror-management theory” have the peculiar idea that death anxiety is our primordial fear, the Ur-anxiety motivating the denial of death through the quest for immortality and various forms of heroism, just as Berger thinks we construct society and religion as illusory defenses against what he takes to be the reality of chaos and anomy (“The Melancholic Existentialism of Ernest Becker,” Free Associations, Vol. 11, Part 3, No. 59, 2004: 422-29).

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)0.009
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.047
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0110.032
Scholarly communication0.0100.010
Open science0.0020.005
Research integrity0.0090.016
Insufficient payload (model declined to judge)0.0140.010

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 head0.117
GPT teacher head0.422
Teacher spread0.305 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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