Bibliographic record
Abstract
The Acadian Forest Region comprises the three Maritime Provinces of Canada, each of which has a distinct history resulting in different patterns of land ownership, land use, and impacts on the forest. The region encompasses a high degree of physiographic and biological diversity, being situated where the warm, moist influence of the Gulf Stream from the south collides with the cold Labrador Current and the boreal forest gradually gives way to mostly deciduous forest. Natural forest types in the Acadian Forest Region include rich tolerant hardwood, similar to the deciduous forests to the south; spruce-fir forest, similar to boreal forest to the north; and an array of coniferous, deciduous, and mixed intermediate types. Red spruce (Picea rubens Sarg.), yellow birch (Betula alleghaniensis Britt.), sugar maple (Acer saccharum Marsh.) and balsam fir (Abies balsamea (L.) Mill.) are considered characteristic of the Acadian Forest Region. Except for one quantitative study in one county of New Brunswick, and another study on Prince Edward Island, most knowledge of the historical forest condition has been gleaned from early descriptions by explorers, surveyors, and settlers of the Maritimes region. Although some regions have been affected much more than others, little, if any forested area has escaped human influence over the past four centuries. A general result of human activities has been a shift in successional status and age distribution, with increased frequency of relatively young, often even-aged, early successional forest types including balsam fir, white spruce (Picea glauca (Moench) Voss), red maple (Acer rubrum L.), white birch (Betula papyrifera Marsh.), and trembling aspen (Populus tremuloides Michx.). Both the abundance and age of late-successional species such as sugar maple, red spruce, eastern hemlock (Tsuga canadensis L. Carrière), yellow birch, cedar (Thuja occidentalis L.), and beech (Fagus grandifolia Ehrh.) have declined. Key words: pre-European forest, Maritime Provinces, historical ecology, witness trees, Acadian forest types, natural disturbance
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| 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) | 0.003 | 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".