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Record W4285058717 · doi:10.31857/s086919080019253-5

Sikh Festivals and the Nanakshahi Calendar

2022· article· en· W4285058717 on OpenAlexaboutno aff
Igor Yu. Kotin

Bibliographic record

VenueVostok Afro-Aziatskie obshchestva istoriia i sovremennost · 2022
Typearticle
Languageen
FieldComputer Science
TopicHuman Pose and Action Recognition
Canadian institutionsnot available
Fundersnot available
KeywordsHinduismDiasporaIdentity (music)HistorySikhismUnificationSociologyAncient historyGeographyReligious studiesGender studiesArtPhilosophyAesthetics

Abstract

fetched live from OpenAlex

In the article the introduction of the Nanakshahi calendar in 1998 (amended in 2003) is considered as an attempt of unification of the Sikh community, and formation of single-form Sikh identity. The evolution of a Sikh community is a long process and the result of the combination of different trends. The community of Sikhs started as the sect in Hinduism in time of Guru Nanak (1469 - 1539) but developed as a new religion under the leadership of his successors, known as the Gurus. Dates of main historical events of the Sikhs together with agricultural and New Year celebrations (Baisakhi, Diwali, Holi) became main festivals of the Sikh year. Gurpurbs or memorial days of the Sikh Gurus are also important part of the Sikh religious year. The matter is complicated by the activity of the Sikhs in diaspora. Recently Sikh religious authorities have introduced Sikh Nanakshahi calendar to create religious boundaries between the Sikhs and the Hindus. Indo-Canadian Sikh Pal Singh Purewal suggested mathematically correct Nanakshahi calendar based on tropical rather than sideral year. He suggested that this calendar is more correct than the North Indian calendar and the one different from that of the Hindus. His opponents claim that it is identical to Christian calendar. In 2003 this calendar was put in force. However, some Sikh festivals are still celebrated in old manner according to the old Vikram (Bikrami) North Indian calendar. Sikh communities in India and in the diaspora are divided now over the Nanakshahi calendar and days of gurpurbs.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.643
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.008
GPT teacher head0.186
Teacher spread0.178 · 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.

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
Published2022
Admission routes1
Has abstractyes

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