New and Emerging Prospects for the Paleopathological Study of Starvation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Starvation represents a significant contributor to morbidity and mortality, past and present, and is therefore of critical importance to the field of paleopathology. Scholars have previously argued that while critical to understanding past human health, starvation is often not directly observable in skeletal remains. But is this assessment still valid today? In re-evaluating this assessment, this paper discusses new developments in the analysis of (1) the “hunger osteopathies” (osteoporosis with some overlay of osteomalacia), (2) skeletal signs of arrested growth such as Harris lines and Linear Enamel Hypoplasia (LEH), and (3) carbon and nitrogen stable isotope analysis of skeletal remains. Periods of starvation are known to cause these visible and chemical alterations within skeletal remains, but these phenomena are complex, multi-etiological, and approaches to evaluate them are often fraught with a lack of standardization and specificity. An interdisciplinary approach synthesizing multiple lines of osteological and dental evidence, borrowing anatomical and medical research, and implementing new advancements in computer modeling, imaging modalities, and chemical micro-sampling may theoretically aid in inferring starvation bioarchaeologically.
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.
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 | 0.001 |
| 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 it