Carbon and Oxygen Isotope Analysis of Modern Cattle (Bos indicus) Molars from the Central Narmada Valley, India
Bibliographic record
Abstract
The carbon and oxygen isotopic composition of tooth enamel is connected to the diet and environment in which it develops. Enamel is invariably preserved for a long time and hence provides the best material for chemical analysis. Teeth are known to reflect a record of dietary and environmental changes taking place during their growth. This paper presents the results of intra-tooth oxygen and carbon isotope values (δ<sup>18</sup>O,δ<sup>13</sup>C) of first, second and third molars obtained from five modern cattle collected from two locations: Dhansi and Hathnora from the Central Narmada Valley, India. The specimens chosen for this study are individuals presumed to have died naturally and/or disposed of by local farmers. The isotopic analysis of tooth enamel is broadly indicative of a C<sub>3</sub> diet with values of δ<sup>13</sup>C (enamel bioapatite) ranging from –6.4‰ VPDB to –27.31‰ VPDB with an average of –16.68‰ VPDB. The δ<sup>18</sup>O values measured in the enamel samples range between of 1.76‰ to 25.15‰ with a mean value of 22.17‰ VSMOW. These present day dental enamel values of modern cattle were compared against the published enamel isotope values of <span style="text-decoration: underline;">Bos namadicus</span>, that occupied this region during the Pleistocene era, in order to understand the possible shift in diet and environment and their inter-relationship between the modern and the Pleistocene Era. The fossil sample produced enriched values of carbon isotopes compared to the modern taxa, indicating a C<sub>4</sub> rich diet, while the diet of the modern cattle is extensively dominated by C<sub>3</sub> type vegetation. We also observed an enriched oxygen isotope values for the fossil sample compared to the modern samples, indicating a possible effect of diagenesis and/or a shift in the temperature and rainfall.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".