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Record W1662783191

Sri Dattatreya’s 24 Gurus: Learning from the World in Hindu Tradition

2007· article· en· W1662783191 on OpenAlexvenueno aff
Martin Haigh

Bibliographic record

VenueCanadian journal of environmental education · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Ecology, and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsHinduismContemplationIncarnationEnlightenmentAestheticsBuddhismSociologyEnvironmental ethicsPhilosophyGautama BuddhaReligious studiesHistoryTheology
DOInot available

Abstract

fetched live from OpenAlex

Sri Dattatreya, who Lord Krishna quotes in The Uddhava Gita, has been evoked as a guru for environmental education. Sri Dattatreya gained enlightenment by observing the world, which provided Him with 24 instructors. These taught Him the futility of mundane attachments, the benefits of contemplation and forebearance, and a path towards the spiritual self-realization of the Supreme. Sri Dattatreya, an incarnation of Lord Vishnu, features in several Puranas where His teachings involve direct challenges to the pretensions and prejudices of the learner. His core message is “never judge by surface appearances but always seek a deeper Truth”: the Earth is sacred, an aspect of God, and a puzzle that challenges the spiritual self to awaken to its true nature.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0130.007
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.030
GPT teacher head0.292
Teacher spread0.262 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations6
Published2007
Admission routes1
Has abstractyes

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