The Battle of Hastings, A Cartographic Narrative
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
The Battle of Hastings (1066) is one of the most widely studied battles in medieval history. Yet despite the importance that research shows geography to play in the outcome of such conflicts, academic studies on the battle have yet to provide a researched-based cartographic analysis of the battle. This study, consequently, seeks to map the battle to scale to examine the size and impact of geographic factors in understanding the events that shaped the battle. The analysis was undertaken using a geographic information system (GIS) with qualitative and quantitative techniques. Historical and current data were combined in a series of detailed state of the art maps to bring an entirely new perspective to the nearly millennium long literature on the battle. Factors considered in the study included previous interpretations of battlefields, literary GIS, cartographic depictions of units and a cartographic narrative of the battle. Among the findings of this study were a firm demonstration of the importance of cartographic-based analysis in understanding the size of a medieval battlefield and the development of a literary military account.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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