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Record W4383101665 · doi:10.31581/jbs-32.3-4.473(2022)

Mizán of Affect in Material v. Metaphysical Models of Human Consciousness

2023· article· en· W4383101665 on OpenAlexvenueno aff
John Hatcher

Bibliographic record

VenueThe Journal of Bahá’í Studies · 2023
Typearticle
Languageen
FieldNeuroscience
TopicNeuroethics, Human Enhancement, Biomedical Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsSoulMetaphysicsConsciousnessConstruct (python library)Action (physics)SelfPsychologyHuman spiritDysfunctional familyEpistemologyRelation (database)Function (biology)Cognitive scienceSocial psychologyAestheticsPhilosophyComputer sciencePsychotherapist

Abstract

fetched live from OpenAlex

From the viewpoint of the description of the human reality in the Bahá’í authoritative texts, the essence of a human being is the soul, a metaphysical reality from which emanate all our distinctively human capacities. Unlike materialist views of the human reality, the Bahá’í teachings assert that our essence—the spiritual “self”—takes its beginning during the process of conception, whereupon it associates with the body so long as the physical temple remains capable of manifesting the reality and powers of the soul. Once the body/brain deceases, the soul dissociates from this relationship and exists and functions and progresses eternally. This hypothesis in no way diminishes the importance of a healthy brain as essential to our physical, intellectual, and spiritual development; indeed, it posits the brain as a transceiver by means of which the self manifests the soul’s condition and development in action, speech, and comportment. Therefore, when the brain becomes dysfunctional, whether through trauma or mental illness, the transparency of the soul’s relation to reality ceases. This paper explores the implications of this relationship for our understanding of emotion and presents a model for understanding the function of emotion as providing us essential feedback on, and guidance for, our lives, feedback whose ultimate purpose is to help us better calibrate our approach to spiritual growth. Given the brain-as-transceiver model, this emotional feedback is reliable only so long as the brain remains transparent in this systematic relationship. The paper suggests ways in which the model could inform approaches to treatment for affective disorders.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.467

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.227
GPT teacher head0.418
Teacher spread0.192 · 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 designBench or experimental
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
Published2023
Admission routes1
Has abstractyes

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