Bibliographic record
Abstract
The present study deals with the documentation of traditional knowledge of some Phenorogames in Mulkhow valley, District Chitral.A total of 60 taxa were documented as being used by ethic group for different purposes.Out of these, 39 species were herbs, 12 shrubs and 9 trees.Maximum taxa are belonging to Asteraceae 11(18.33%),Papilionaceae, Apiacae, and Solanaceae come to next with 5(8.33%) species in each, followed by Lamiaceae 3(5%), leguminaceae, Irridaceae and Plantaginaceae 2(3.33%) species in each, the remaining families contain 1 species in each.The taxa are used for different purposes such as medicine, traditional food, fodder, fuel, timber, thatching etc.Out of the total, 34 species were used as medicinal purposes, 6 species were used as traditional food, and 6 species were used as fodder.The remaining species were used for fencing, timber, fire wood, harvesting material etc. Majority of plant parts were used in the form of decoction and were used orally.Unsustainable utilization of taxa, soil erosion, over grazing, and poor harvesting method seem to be potential threats for the flora.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.961 | 0.956 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".