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Record W4411392627 · doi:10.53762/ba4qtf44

10.53762/ba4qtf44

2000· article· en· W4411392627 on OpenAlexvenueno aff
Sarah Umer

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldArts and Humanities
TopicIndian and Buddhist Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIndusKarmaCivilizationSouth asiaAncient historyTracingHistoryPath (computing)GeographyBuddhismArchaeologyGeologyPaleontologyComputer science

Abstract

fetched live from OpenAlex

The purpose of this research is to trace the existence of the concept of Karma in the lives of the South Asians and the role it played in shaping the history of this land. As, it seems difficult to separate this concept from the religious ideologies of the people who belonged to this area. The term Karma in Hindu, Buddhist and Jain philosophy means somebody’s current and future lives are determined by that person’s behavior in this and previous lives. In other words, Karma is the sum of a person's actions in this and previous states of existence and is viewed as the deciding factor for their fate in the existing and future lives. This concept of Karma was prevalent over a wider geographical area, as we know that there is a common world myth about the ‘Immortal Soul’. Hence, it can also be easily linked to the concept of immortality, which is also part of the three monotheistic religions of the world and can be traced in the history of every land, nation and civilization. Moreover, when we trace the religious history of this land, this is the one and only element that is similar between all the indigenous religions (Hinduism, Buddhism or Jainism) of this land and which in a way also binds all the religions together, despite of many dissimilarities. This concept of Karma can also be traced back to the time of the Indus Valley Civilization with the help of their archaeological remains in the absence of decipherable script.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.303
Threshold uncertainty score0.335

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.9990.993

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 head0.011
GPT teacher head0.155
Teacher spread0.144 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2000
Admission routes1
Has abstractyes

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