Kente Weaving Among Akan and Ewe Peoples of Ghana: A Gender-Based Insight into Embedded Intangible Cultural Heritage and Implications for the Implementation of the UNESCO <i>Intangible Cultural Heritage Convention</i>
Bibliographic record
Abstract
The UNESCO Convention for the Safeguarding of Intangible Cultural Heritage is designed to secure the protection of intangible cultural heritage (ICH) worldwide.1 The Convention aims to safeguard and ensure respect for ICH of communities, groups, and persons and promote awareness of their significance and international protection in that regard.2 The Convention outlines intangible cultural heritage (ICH) in terms of oral traditions and expressions, including, but not limited to, epics, tales, and stories, and performing arts categories such as music, song, dance, puppetry, and theatre. Other forms of ICH under the Convention include social practices, rituals, and festive events. In its inherently nuanced nature, ICH also includes knowledge and practices relating to nature and the universe. In these categories are folk medicines, folk astronomy, and various natural phenomena. ICH’s wide and nuanced ambit encompasses traditional craftsmanship as well as the sites and spaces in which culturally significant activities and events occur.3 ICH forms part of the daily life and lived realities of people in virtually all parts of the world. It is the beliefs and perspectives, ephemeral performances, and events that are not tangible objects of culture, such as monuments or paintings. ICH is often described as the underlying “spirit” of a cultural group,4 which cannot be detailed in all subtleties.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.011 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".