The Response of Riparian Vegetation to Flow Regulation Along Peace River, Alberta
Bibliographic record
Abstract
Abstract: In the Alberta reach of Peace River, vegetation has been mapped from air photography at six epochs since the early 1950s. The river traverses the dry Aspen–Poplar biogeoclimatic zone and northern boreal forest. Communities were identified by air photo texture and vegetation morphology; apart from reconnaissance studies, no ground investigations were undertaken. Temporal changes record the widespread establishment, after regulation, of pioneer herb and shrub communities on exposed river bars. Over time, some have progressed to early forest stands dominated mainly by cottonwood (Populus balsamifera). However, at many sites, development has remained at the pioneer shrub stage, the result of winter high water and ice effects. In the reach downstream of the Town of Peace River, ice activity has severely limited vegetation succession. On stable terrestrial sites, normal succession is observed. However, the spatial pattern of communities is palimpsestic, recording the effect of river lateral erosion and movement which brings pioneer communities into juxtaposition with well-established, late succession forest sites. The main effects of river lateral erosion probably originated in the pre-regulation period; however, 40 years of regulated flows are not sufficient for succession to overcome this legacy effect. Observations are broadly congruent with those in the proximal British Columbia reach.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".