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Record W4411598161 · doi:10.35483/acsa.am.113.17

Expanding the Heritage Narrative in N’gambo & Stone Town, Zanzibar: the ‘Upande Mmoja na wa Pekee’ Project

2025· article· en· W4411598161 on OpenAlexaff
Aziza Chaouni, Bomani Khemet

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Maritime and Colonial Histories
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNarrativeArchaeologyHistoryGeographyArtLiterature

Abstract

fetched live from OpenAlex

Zanzibar City represents over 800 years of development, expansion, and transformation, beginning as a fishing village in the early eleventh century AD. The city consists of two main urban cores. The old colonial town, a UNESCO World Heritage site since 2000, features stunning buildings that blend Portuguese, British, Omani, and Indian influences, mostly constructed over the past 200 years. This area is known as Stone Town, or Mji Mkongwe in Swahili. Directly to the east of Stone Town lies the newer urban center, Ng’ambo, meaning “the other side.” Ng’ambo is characterized by Swahili dwellings and post-independence modernist social housing and public facilities. The two parts of Zanzibar City were originally separated by a natural creek, which was later filled in and converted into parks and a major road, reinforcing a physical division between Ng’ambo and Stone Town. The designation of Stone Town as the sole UNESCO World Heritage site on the island has exacerbated this division, marginalizing other forms of intangible and tangible pre-colonial and post-colonial heritage. This paper proposes a new approach to Zanzibar City’s heritage narrative, one that embraces its pre-colonial, colonial, and post-colonial built heritage. It will examine the urban evolution of Stone Town and Ng’ambo, critique UNESCO’s problematic heritage narrative, and discuss the methodology, goals, preliminary outcomes, and prospects of the first phase of the joint research project Upande Mmoja na wa Pekee (“The One and Only Side” in Swahili). This project seeks to reimagine public spaces and repurpose unused public buildings to express a more inclusive heritage narrative.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.163

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0170.007
Scholarly communication0.0050.002
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.026
GPT teacher head0.338
Teacher spread0.312 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2025
Admission routes1
Has abstractyes

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