Bibliographic record
Abstract
Parks Canada reports on the state of national parks using a framework based on indicators of ecosystem structure, functions and stresses. Parks Canada can add geoindicators to this framework by drawing from those endorsed by the International Union of Geological Sciences and the suite adopted by Canada's Ecological Monitoring and Assessment Network - 28 indicators in all. I considered five other potential geoindicators of rapid environmental change, namely the built environment, extreme events, marine nearshore environments, snow avalanches and tufa accumulation. From the combined total of 33 geoindicators I chose a short list of ten based on relevance to ecosystem understanding, linkage to other measures, and practicality for long-term adoption. To represent structure I propose dunes, glaciers, lakes, shorelines and wetlands. For processes I propose frozen ground activity, groundwater level, mass movements, stream flow and soil water quality. For stresses I propose the built environment. Resume Parcs Canada rend compte de l'etat des parcs nationaux en se servant d'un cadre fonde sur la structure des ecosystemes, les fonctions ecologiques et les stress. Parcs Canada peut ajouter des geoindicateurs a ce cadre en tirant du cadre des geoindicateurs de l'Union internationale des sciences geologiques et le cadre du Reseau d'evaluation et de surveillance ecologiques, 28 indicateurs en total. J'ai considere cinq autres geoindicateurs potentiels de changement environnemental soit l'environnement bâti, les evenements extremes, les milieux marins situes a proximite du rivage des oceans et des grands lacs, les avalanches et les accumulations de tuf calcaire. A partir de ce grand total de 33, j'ai propose une liste abregee de dix fondee sur la pertinence pour la comprehension des ecosystemes, les liens avec d'autres mesures et la valeur concrete pour le suivi a long terme. Pour representer la structure, je propose les dunes, les glaciers, les lacs, les rivages et les milieux humides. Pour representer les processus, je propose l'activite des pergelisols, le niveau de la nappe souterraine, le mouvement de masse, l'ecoulement fluvial et la qualite de l'eau dans les sols. Pour ce qui est des sttess, je propose l'environnement bâti.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".