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Record W2244857878 · doi:10.1017/cbo9780511616648.010

Intelligence: What Is Indigenous to India and What Is Shared?

2004· book-chapter· en· W2244857878 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

VenueCambridge University Press eBooks · 2004
Typebook-chapter
Languageen
FieldNeuroscience
TopicNeuroscience, Education and Cognitive Function
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSorrowSelf-knowledgeTraditional knowledgePsychologyIndigenousEpistemologySociologyPsychoanalysisSocial psychologyPhilosophy

Abstract

fetched live from OpenAlex

The story is told of a discourse on mind, self, and intelligence that occurs in one of the seminal books of traditional knowledge, the Upanishad (Radhakrishnan, 1953). There is a learned man, Narada, who commutes between the land of gods and humans – he is dissatisfied in spite of his knowledge of books, which he teaches to humans; he wishes to know the nature of the self. He seeks out a wise man who is innocent of scriptural and book knowledge but is virtuous and practices love for all; this man is truly innocent like a five-year-old child. But he knows about the self. Narada asks him for lessons on self-knowledge, because he has heard that those who have such knowledge live beyond sorrow, and Narada says he is sad because he cannot cross over to the other side of sorrow! The wise man tells Narada to describe what knowledge he has already acquired, and then they can discuss how to go beyond it.

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 categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.895
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.001
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 head0.035
GPT teacher head0.240
Teacher spread0.204 · 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