Discovering or Intruding ?Guided Tours in the Ethnic District Matonge in Brussels
Bibliographic record
Abstract
The chapter discusses Matonge, the so-called African quarter of Brussels in Belgium. In 2005, the tourism authorities decided to put Matonge on the tourism map in order to diversify the tourism offer of the city, and to highlight its multicultural cosmopolitism. Today, a variety of guided tours can be booked to visit Matonge and ‘admire the exotism’ of the place. Guides take visitors around, focusing on a broad variety of themes from the history of the former Belgian colony to presenting specific goods and services of the African community. However many community members feel scrutinised and gazed at, emphasising their difference and exoticism. The chapter looks into ‘misguided’ tours, examining the critics of the community members towards these kinds of visits and tackling the difficult relationship through an analysis of the various stakeholders involved in organising the tours. It aims at stressing the fine balance between voyeurism, interest and education.
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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 | 0.000 | 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 | 0.009 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
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".