The biochemical signatures of stress: A preliminary analysis of osteocalcin concentrations and macroscopic skeletal changes associated with stress in the 13th ‐ 17th centuries black friars population
Bibliographic record
Abstract
OBJECTIVE: As a chemical precursor to the hard tissue changes well-studied in bioarchaeological research, osteocalcin provides a unique opportunity to assess stress via fluctuations in bone metabolism. The main objectives of this research were 1) to successfully extract osteocalcin from the Black Friars skeletal population; 2) to assess the diagenetic change between individual bone samples; and 3) to compare osteocalcin concentrations across sex, age, time period and macroscopic indicators of stress. METHODS: Twenty adult individuals were selected from the 13th-17th centuries Black Friars skeletal population with bone samples taken from the clavicle and femur. Total protein was assessed through a MicroBCA analysis with osteocalcin quantified using a Human Quantikine ELISA kit. Diagenetic change was assessed using Fourier transform infrared spectroscopy and the attenuated total reflectance method. RESULTS: Osteocalcin concentrations showed no significant differences between sex or age groups; however, between time period the post-medieval individuals showed a significant reduction of osteocalcin in both the clavicle and the femur. There were no significant differences in osteocalcin concentrations between those with and without past stress indicators and only one significant difference among the chronic indicators. The diagenetic results demonstrated a similar degree of crystallinity between all samples. CONCLUSIONS: While preliminary in nature, this study was successful in demonstrating the potential use of osteocalcin in future health-related research and how the study of osteocalcin may contribute to a better understanding of how and when stress begins to affect the skeletal tissues.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.048 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".