De Herlaars in het Midden-Nederlandse rivierengebied (ca. 1075 - ca. 1400)
Bibliographic record
Abstract
The main question of this thesis is: how did the Herlaars acquire their position in the Dutch river area and manage to maintain it for a long time, and what served as the basis of power? The concept of 'maatschappelijk vermogen', introduced by Schmidt in 1986, is used to describe the position and power of the Herlaars. The focus of this research is pointed to the Herlaars with their extensive possessions in the Dutch River area. The development of power as described provides an image of power and also answers the question how the Herlaars managed to maintain their position. The Herlaars seem to have been very aware of both the opportunities and the threats offered by the geopolitical ambitions of these great lords. In the second quarter of the 14th century the Herlaars managed to acquire seigneurial rights and substantial houses in the border area of the territory of Gelre and Brabant. However, this property was not used by the Herlaars to consolidate or gain a position in the territory of the landlords, or to acquire even more possessions. My research shows that the Herlaars were no border lords but something more humble, noblemen living on the border.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.104 | 0.021 |
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".