RESERVE PLANNING ON PRIVATE LAND HOLDINGS OF THE FORESTRY COMPANY, STORA PORT HAWKESBURY LIMITED: CAPE BRETON ISLAND AND EASTERN MAINLAND NOVA SCOTIA
Bibliographic record
Abstract
The forestry company, Stora Port Hawkesbury Limited, owns 280 properties throughout Cape Breton Island and eastern mainland Nova Scotia with a total cumulative area of 24 590 ha. This study utilized a coarse filter analysis to determine which of these land holdings support representative and outstanding natural features compatible with the creation of a system of privately-owned nature reserves. Aerial photographs were used to document each property. Approximately 35% of the private land holdings were caught by the coarse filter to be considered candidate protected sites. Significant features identified include old-growth forests, wetlands, ravines, headwaters, lakeshores, coastlines, lagoons, talus slopes, forested floodplains, ephemeral rivers, oxbow lakes, riparian zones, and mountain barrens. Other studies have subdivided Nova Scotia into a series of 80 distinct natural landscape units, most of which have few or no protected areas. A Stora-owned system of nature reserves could help fill significant representation gaps within the province-wide system of protected areas, since nearly three-quarters of landscape units containing Stora properties are inadequately represented with existing protected sites. Other Stora-owned properties are located along significant waterways or positioned adjacent to larger existing protected areas. Later stages of this project will field-verify interpretations of the coarse filter analysis and further refine the list of candidate protected sites presented here.En Nouvelle-Écosse, la société forestière Stora Port Hawkesbury Limited possède 280 propriétés dans l’île du Cap-Breton et dans l’est de la partie continentale; la superficie totale des propriétés est de 24 590 ha. La présente étude utilise le principe du filtre brut pour établir quelles propriétés renferment des caractéristiques naturelles représentatives et exceptionnelles pour la création d’un réseau de réserves naturelles privées. On a utilisé des photographies aériennes pour documenter chaque propriété. Environ 35% des propriétés privées analysées ont été retenues pour analyse plus poussée. Parmi les éléments importants repérés, on compte des vieilles forêts, des milieux humides, des ravins, des eaux d’amont, des rivages de lacs, des côtes, des lagunes, des pentes d’éboulis, des plaines inondables boisées, des rivières éphémères, des méandres morts, des zones riveraines et des landes de montagnes. Dans d’autres études, on a subdivisé la Nouvelle-Écosse en 80 unités de paysage naturel, dont la plupart renferment peu de zones protégées ou aucune. Comme près des trois quarts des unités de paysage qui comprennent des propriétés de la Stora ne sont pas bien représentées dans les sites protégés actuels, un réseau de réserves naturelles appartenant à la société Stora pourrait contribuer à combler des lacunes importantes dans la représentation des types de milieux dans le réseau provincial de zones protégées. D’autres propriétés de cette société sont situées le long d’importantes voies navigables ou sont adjacentes à de grandes zones protégées. Dans les étapes ultérieures du présent projet, on validera sur le terrain les résultats de l’analyse par filtre brut et améliorera la liste des sites candidats présentés dans le présent document.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".