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Record W4383101674 · doi:10.31581/jbs-32.3-4.337(2022)

Mind

2023· article· en· W4383101674 on OpenAlexvenueno aff
Gerald Filson

Bibliographic record

VenueThe Journal of Bahá’í Studies · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicIslamic Thought and Society Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEpistemologyHumanitySoulPhilosophy of mindPhilosophy of scienceRelation (database)Process philosophyComputational theory of mindAction (physics)Mind–body problemCognitive sciencePhilosophySociologyPsychologyComputer scienceMetaphysics

Abstract

fetched live from OpenAlex

This paper correlates Bahá’í concepts of the mind with insights from philosophy. It presents arguments from both sources for a non-reductive understanding of the human mind and argues that, although science can help us advance our understanding of the mind, it is not sufficient in this pursuit, as it cannot capture fully how the human mind experiences reality. The paper reviews the mind’s conceptual way of knowing, explores the implications of language for philosophy of mind, and considers how the pursuit of science and the phenomenon of religion both shed light on the capacities and nature of the mind. After suggesting that the process of learning in which the global Bahá’í community has embarked may serve as a model for engaging the human mind in a collective enterprise for the betterment of the world, it turns back to philosophy to submit that, while many contemporary philosophers persuasively argue that the human mind is not reducible to physical causality, the philosophical resistance to a spiritual dimension of the human mind is excessively limiting. The minds of human beings demonstrate capacities that lie beyond nature, and a conception of the mind as “the power of the human spirit” or “rational soul” can not only be a fruitful way of understanding the mind, but lead to an orientation by human beings in the world, demonstrated through the learning process discussed earlier in the paper, that holds promise for the future of humanity.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score0.524

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.134
GPT teacher head0.312
Teacher spread0.179 · 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 designNot applicable
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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