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Record W2345011832

Dungeons, Castles or Resorts? The Changing Utility and Meaning of the Slave Forts of Ghana

2013· article· en· W2345011832 on OpenAlexaffabout
Jonathan Roberts

Bibliographic record

VenueSSRN Electronic Journal · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Maritime and Colonial Histories
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsSAINTMountHistoric siteResistance (ecology)ArchaeologyHistoryEthnologyLawPolitical scienceArt historyEngineering
DOInot available

Abstract

fetched live from OpenAlex

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 commandant’s 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. /

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.251
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2013
Admission routes2
Has abstractyes

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