Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Ethnoscience Taxonomy× | Cultural Domain Analysis× | |
|---|---|---|
| Nyanja | Anthropology | Anthropology |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 1979 | 1994 |
| Mwanzilishi≠ | Ethnoscience / new ethnography tradition (Spradley; Conklin; Frake) | Stephen P. Borgatti (synthesis of cognitive anthropology methods) |
| Aina≠ | Elicitation and analysis procedure for native folk classification systems | Integrated framework for eliciting and analyzing cultural domains |
| Chanzo asilia≠ | Spradley, J. P. (1979). The Ethnographic Interview. New York: Holt, Rinehart and Winston. ISBN: 9780030444968 | Borgatti, S. P. (1994). Cultural domain analysis. Journal of Quantitative Anthropology, 4(4), 261–278. link ↗ |
| Majina mbadala | Folk Taxonomy, Ethnographic Semantics, New Ethnography Taxonomy, Folk Classification Analysis | CDA, Domain Analysis (cognitive anthropology), Cultural Domains Approach, Cognitive Domain Analysis |
| Zinazohusiana | 4 | 4 |
| Muhtasari≠ | Ethnoscience taxonomy is the ethnoscientific, or 'new ethnography,' approach to recovering how a culture classifies its world by eliciting the native terms of a domain and the inclusion and contrast relations that link them. Through structured interview questions — especially 'Is X a kind of Y?' and 'What kinds of Y are there?' — the researcher discovers which categories nest under which and which categories stand opposed at the same level. Organizing these relations produces a folk-taxonomic tree: a hierarchy of native categories built from the informants' own words rather than from scientific classification imposed from outside. | Cultural domain analysis is the integrated framework in cognitive anthropology for discovering the content and structure of a cultural domain — a coherent set of related items such as illnesses, animals, kin terms, or emotions — as the members of a culture themselves organize it. It chains together elicitation methods (free listing, pile sorting, triad tests) and analytic methods (salience, multidimensional scaling, clustering, consensus analysis) to move from 'what items are in this domain?' to 'how are they organized and how widely is that organization shared?' |
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