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Record W4404447750 · doi:10.15347/wjs/2024.008

The Himalayan fossil hoax

2024· article· en· W4404447750 on OpenAlexaboutno aff
Kholhring Lalchhandama

Bibliographic record

VenueWikiJournal of Science · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicEvolution and Paleontology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHoaxGeographyAstrobiologyHistoryBiologyMedicine

Abstract

fetched live from OpenAlex

The Himalayan fossil hoax, or simply the Himalayan hoax, or the case of the peripatetic fossils, was perpetrated by an Indian geologist Vishwa Jit Gupta of Panjab University. Since his doctoral research in the early 1960s and the following two decades, Gupta worked on the geological and fossil studies of the Himalayan region, producing hundreds of research publications that were taken as fundamental to understanding the geology of the Himalayas. The Australian geologist John Talent of Macquarie University, who also worked on the geology of the Himalayas, found that Gupta's reports did not match those geological settings and the fossils were particularly odd, with some of them extraordinarily similar to those from other parts of the world. With Glenn Brock, Talent meticulously scrutinised Gupta's voluminous publications and revealed that Gupta had manipulated, faked, recycled, and plagiarised his data. Early in 1978, Gilbert Klapper and Willi Ziegler had suspected foul play when they noticed that Gupta's conodont fossils were similar to those collected by George Jennings Hinde from Buffalo, New York, a century before. As Arun Deep Ahluwalia recalled, Gupta had faked conodont fossils by planting them in the Himalayan rock samples to impress Kiril Budurov in 1980. Gupta duped Philippe Janvier into describing a fish fossil as a new species in 1982, which Janvier later found was collected from China. Talent also discovered in 1986 that Gupta used Moroccan fossils available in a Paris shop to report the presence of ammonoid fossils in the Himalayas. Brock's investigation showed that Gupta's earliest publications including his doctoral thesis indicated plagiarised fossil pictures directly clipped from the 20th-century monographs of Frederick Richard Cowper Reed. Talent publicly revealed Gupta's anomalous fossils and geological inconsistencies at the International Symposium on the Devonian System held at Calgary, Canada, in 1987. His documented criticism was published in German serial Courier Forschungsinstitut Senckenberg the next year, but was not widely read. Dubbed the Himalayan peripatetic (misplaced) fossils, the case became global news in 1989 when Talent summarised the Courier story in Nature, with an associated journalistic investigation by Roger Lewin published in Science. It came to light that many of Gupta's Himalayan fossils were acquired from different parts of the world − some bought and some apparently stolen. Gupta had chosen "phantom localities" to attribute his fossil discoveries without ever visiting them. The University Grants Commission of India withdrew its funding to his research. Although suspended for 11 months, Panjab University continued his employment until his normal retirement in 2002. The case was described as "the biggest paleontological fraud of all time" by Talent and as the "greatest scientific fraud of the century" by the Indian magazine Down to Earth.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.013
GPT teacher head0.248
Teacher spread0.235 · 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 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
Published2024
Admission routes1
Has abstractyes

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