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Record W1530059947

Geoindicators For Monitoring Canada's National Parks System

2003· article· en· W1530059947 on OpenAlexaffvenueabout
David Welch

Bibliographic record

VenueGeoscience Canada · 2003
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsParks Canada
Fundersnot available
KeywordsGeographyForestryPhysical geography
DOInot available

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.036
Threshold uncertainty score0.167

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0090.011
Science and technology studies0.0030.000
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.002

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.

Opus teacher head0.022
GPT teacher head0.212
Teacher spread0.190 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2003
Admission routes3
Has abstractyes

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