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Record W7095817580

PREPARING CONSERVATION PLANS FOR THE NATURE CONSERVANCY OF CANADA: THE STUDENT CONSERVATION PLANNING SERVICE PART II

2016· article· en· W7095817580 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Taxonomy and Phylogenetics
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipWork (physics)Service (business)Land managementLand-use planningService-learningVegetation (pathology)
DOInot available

Abstract

fetched live from OpenAlex

The Student Conservation Planning Service at the University of Guelph is a pilot program that involves qualified students from the Faculty of Environmental Sciences in producing conservation plans for rural landowners and non-government organizations. In this paper, the results of a summer effort to produce plans for properties owned by the Nature Conservancy of Canada is described. Field work was undertaken on ten properties scattered across southern Ontario, to prepare descriptions of vegetation communities based on the Ecological Land Classification system. Other cultural features and surrounding land use were also described, and a list of management issues developed. In the paper, the issues involved in successful completion of the plans by the student team, the use of the ELC system, as well as the typical management issues on the properties themselves are discussed. The partnership between university students and non-government organizations benefits both parties by enabling students to gain a demanding learning experience, while the organization receives tangible products in return.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.744
Threshold uncertainty score0.973

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.034
GPT teacher head0.230
Teacher spread0.196 · 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 teacher head, 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

Citations0
Published2016
Admission routes1
Has abstractyes

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