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Record W4319793861 · doi:10.1080/19349637.2023.2169218

Kierkegaard and mood disorders

2023· article· en· W4319793861 on OpenAlexaff
Tony B. Benning

Bibliographic record

VenueJournal of Spirituality in Mental Health · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSpiritualityPsychotherapistExistentialismFaithMoodPsychologyDepression (economics)PsychoanalysisPastoral counselingPsychiatryMedicinePhilosophyAlternative medicineEpistemology

Abstract

fetched live from OpenAlex

With his writings encompassing such issues as depression, despair, faith, and hope, the nineteenth century Danish philosopher and theologian Søren Kierkegaard is known for his percipient insights into the psychology of spirituality. Here, the author presents a case from his psychiatric practice as a basis for exploring how Kierkegaard’s ideas can be drawn upon when providing spiritually orientated psychotherapy to clients suffering from depression. Kierkegaard’s ideas can inform the work of clinicians who are providing care to individuals with mood disorders regardless of whether it is being provided in the name of spiritually orientated psychotherapy, existential therapy, or pastoral counseling.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.137
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.045
GPT teacher head0.419
Teacher spread0.374 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2023
Admission routes1
Has abstractyes

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