RE‐IMAGINING NAVAN FORT: NEW LIGHT ON THE EVOLUTION OF A MAJOR CEREMONIAL CENTRE IN NORTHERN EUROPE
Bibliographic record
Abstract
Summary This article presents major discoveries from a new campaign of large‐scale multi‐method geophysical surveying, focused on Navan Fort and its environs. Alongside a re‐appraisal of excavated evidence, it offers a new model for the evolution of Navan. The large earthwork now known as Navan Fort sits alongside other iconic monuments such as Tara, Rathcroghan, Knockaulin and Cashel as one of Ireland’s so‐called provincial centres. Historical texts imply that these Iron Age complexes became enduring symbols of power for early medieval societies, and royal centres for overkings. These references, alongside the incredible scale of these landscapes, have encouraged intensive research, but only recently has non‐invasive survey begun adding new data and facilitating new interpretations. Prior to the present study, discussion of Navan Fort was limited to the results of small‐scale but iconic excavations. These new discoveries significantly change understandings, adding spectacular new monumental phases, and facilitating re‐assessment of Navan’s role within both later prehistoric and medieval society, as well as of the nature of ceremonial landscapes and their role in developing sacral kingship in northern Europe.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".