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Record W4386117690 · doi:10.59962/9780774856744

Indicator Plants of Coastal British Columbia

2007· book· en· W4386117690 on OpenAlexaboutno aff
Karel Klinka, V. J. Krajina, A. Ceska, A.M. Scagel

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2007
Typebook
Languageen
FieldAgricultural and Biological Sciences
TopicBotany, Ecology, and Taxonomy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental scienceOceanographyGeographyArchaeologyHydrology (agriculture)GeologyGeotechnical engineering

Abstract

fetched live from OpenAlex

This original work makes unprecedented use of some of the most important research to date in plant ecology. It is a guide for assessing site quality, that is, the climate and soil of particular forest and non-forest ecosystems. Foresters have long been interested in using plants as indicators in predicting the growth performance of reforestation sites, but the data have not been readily available. Indicator Plants of Coastal British Columbia fully discusses how indicator plants are recognized and demonstrates how indicator plants can be used in site diagnosis. The book presents colour illustrations and descriptions of 419 selected vascular plants, bryophytes and lichens of coastal British Columbia. Indicators with similar values are grouped into indicator species groups which are used to evaluate site quality. These data are supplemented by information on geographic distribution, life-form, shade tolerance, and other ecological characteristics of the species. Three methods are given on how to use indicator plants for the purpose of site diagnosis. Indicator Plants of Coastal British Columbia summarizes original research in a format which both students and practitioners will find easy to use.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.375
Threshold uncertainty score0.754

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0020.001
Scholarly communication0.0020.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.002

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 head0.018
GPT teacher head0.171
Teacher spread0.153 · 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
Published2007
Admission routes1
Has abstractyes

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