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Record W4393910061 · doi:10.1016/j.ara.2024.100521

The pictographs of Chel-Dokhtaroon in the Southern Zagros Mountains, Fars, Central Southern Iran

2024· article· en· W4393910061 on OpenAlexaff
Ebrahim Karimi, Cyrus Barfi, Samira Jafari, Sahar Samghani, Reza Norouzi

Bibliographic record

VenueArchaeological Research in Asia · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and environmental studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsSouthern IranGeologyArt

Abstract

fetched live from OpenAlex

This paper reports and discusses a new collection of pictographs situated in a rock shelter called Chel-Dokhtaroon in the southern Zagros Mountains in Jahrom, Fars province in southern Iran. Chel-Dokhtaroon contains one of the largest collections of pictographs identified in this part of the country so far. The use of Dstretch application recovered the faded depictions, which were not visible to the naked eye. The rock paintings of Chel-Dokhtaroon show stylistic similarities to some other pictographs previously identified in the southern Zagros Mountains. It is proposed that the Chel-Dokhtaroon and Abdozu pictographs show the highest degree of stylistic similarity together compared to the other sites in the area. Relative dating methods have been attempted to reach a primary understanding of the relative age of the pictographs. Using a semiotic approach, the paper discusses that some representations may show social spaces occupied by anthropomorphic depictions.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.069
GPT teacher head0.305
Teacher spread0.237 · 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 designObservational
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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