ForewordCSIRO PUBLISHING www.publish.csiro.au/journals/ijwf International Journal of Wildland Fire 2009, 18, 233–234 2007 EastFIRE Conference: introduction to special issue
Bibliographic record
Abstract
Wildland fire is a global process, subject to regional characteri-zation, with localized impacts on natural resources, people and their social systems. Fire science strives to meld international-and national-scale applicability with regional- and local-scale application. Satellite observations reinforce the belief that as the basic combustion and behaviour processes governing fire are globally consistent, models of those processes should be adaptable to local conditions. Although the Canadian Forest Fire Danger Rating System is a notable exception, years of scien-tific effort have gone into developing fire systems that are often not accepted outside of their region of origin within a nation, or across national boundaries. The United States are regionally divided into east, interior west and west coast in terms of ecosys-tem domains and demographic distributions. The eastern United States are approximately bounded by the west side of the Missis-
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.793 | 0.570 |
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".