Landscapes of Power\nThe Social Network of the Power Elite\nin mid-Victorian Ireland\nCase Study of Thomas Conolly (1823-76)\nof Castletown, Co Kildare
Bibliographic record
Abstract
The focus of this thesis will have at its core an individual and a house around which the social networking of the ascendancy will pivot. Thomas Conolly and Castletown will act as a catalyst to the control of hegemonic power of the ascendancy class in the second half of the nineteenth century. The nineteenth century saw the demesne come to publicly represent the overt economic and social power of the landowning class and has contributed to the highly politicised nature of these spaces. At the centre of this was Conolly who moved from space to space engaging in the social rituals that connected the elites and in the wider social and political arena in connection with the hegemonic acceptance of the social order. This study will step away from a conventional history of the house and look instead at the structure of the society within which it is embedded to provide a new glimpse at a familiar building and of its society. This study will contextualise Conolly’s activities and the lifestyles of other ascendancy landowners on Irish society in the third quarter of the 19th century. The mid to late nineteenth century is the culmination of the hegemonic supremacy of the British culture achieved through economic and military strategies across the world. This supremacy, steadily moving toward a proto nationalistic climate, would not irretrievably break down until the end of the century. By looking at Conolly’s social interaction to the wider ascendancy spaces during this period Castletown will represent a world that in the 21st century has virtually disappeared.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".