The cultural significance of plants of the Pernambuco indians: The Xucuru case
Bibliographic record
Abstract
The Index of Cultural Significance (ICS) created at the end of the 1980´s, aims to register the value of each vegetable species and to disclose its importance for the biological and cultural survival of a traditional community. Initially, the ISC was considered and applied in aboriginal communities in Canada and the United States. Aiming to verify its applicability for Brazilian aboriginal groups, it was used in the present work to evaluate the cultural meaning of the useful species for the Xucuru tribe, in pesqueira county, Pernambuco. In Brazil, it is the first time that this index has been used with a northeastern aboriginal community, the Xucuru, one of the seven tribes remaining in Pernambuco. From informal interviews, 97 useful species were registered among trees, shrubs and grass growing in the Pedra D’Água forest (Humid Ororobá-Forest), in yards, and in small cultivated areas in the village. The ISC provided a numeric order of importance for the plants registered in the Xucuru tribe, much like the one observed in the field. Musa paradisiaca was the species of greatest meaning for the community (ICS 120), followed by Rosmarinum officinalis (ICS 92), Xerophyta plicata (ICS 88), Aspidosperma sp. (ICS 84) and Cymbopogon citratus (ISC 80). The place of distinct prominence for non-native species of the area (exotic) evidences the importance that such species have acquired in the Xucuru culture.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".