Dungeons, Castles or Resorts? The Changing Utility and Meaning of the Slave Forts of Ghana
Bibliographic record
Abstract
This paper will cover the controversy surrounding renovations of a 300 year old slave fort in Dixcove, Ghana. In 2001, the Ghana Museums and Monuments Board leased the UNESCO heritage site of Fort Metal Cross, a former British castle, to Robert Fidler, a citizen of the United Kingdom. Fidler now lives in the commandants quarters of the fort and has spent over £20,000 pounds to transform the site into a resort, complete with a classical garden, a swimming pool, and chalets modeled on the motifs of the castle. He has altered the site in defiance of resistance from the chiefs of Dixcove, who claim that Fidler has desecrated local shrines, and despite protests from Monuments Board officials, who say he has damaged the archaeological site around the fort. This paper will discuss the practicalities of preserving heritage sites in Ghana, and discuss the historical and cultural significance of slave forts to locals, governments, and tourists. / Jonathan Roberts is an Assistant Professor of History at Mount Saint Vincent University in Halifax, NS. He specializes in the religious and medical history of West Africa, and is currently studying the significance of shrines around slave forts in Ghana. /
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.014 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".