Introduction to the legacy forest small streams study : runoff patterns and related biogeochemistry on the western portion of the boreal shield / by Elyse Lynne Mussell.
Bibliographic record
Abstract
"The Forest Watershed and Riparian Disturbance (FORWARD) Project is an ongoing study initiated on the western Boreal Plain (northwestern Alberta) in 2001 to incorporate hydrologic processes into industrial forest management. Data collection and modelling focused on streamflow during the growing season (01 May to 31 October) in eight recently disturbed (>50% by total area) and six reference first- to fourth-order watersheds. In 2003, the Legacy Forest Small Streams (LFSS) study was launched in the western Boreal Shield (northwestern Ontario) to extend the geographical scope of the FORWARD Project. The objectives of my study were to provide a comparable baseline data set on stream flow dynamics for the modelling process within industrial forest management and in the context of a comparative study of storm driven patterns. Long-term intention is to apply controlled disturbance (ie. forest harvest) to a subset of the study watersheds.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".