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Record W4292099949 · doi:10.1017/s0957423922000029

AVICENNA ON HUMAN SELF-INTELLECTION

2022· article· en· W4292099949 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueArabic Sciences and Philosophy · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval and Classical Philosophy
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsIntellectGRASPPhilosophyEpistemologyPsychologyCognitive scienceComputer science

Abstract

fetched live from OpenAlex

Abstract I argue that Avicenna allows for at least one case where we can intellectually grasp a particular individual as such: Each human intellect can intellect itself as numerically this one intellect without relying on any general notion or concept. This is because humans can retain their individuality when separated from their bodies. I discuss passages in which Avicenna appears to affirm and deny that humans can intellect themselves. I conclude that in contrast to the self-awareness that Avicenna showcases in his “floating human” thought experiment, human self-intellection is a rare achievement, and I explain how it differs from the more perfect self-intellection of the divine intellect.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.711
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.116
GPT teacher head0.286
Teacher spread0.170 · 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