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Record W1983478296 · doi:10.5558/tfc85528-4

Broadleaves in the Interior of British Columbia: Their extent, use, management and prospects for investment in genetic conservation and improvement

2009· article· en· W1983478296 on OpenAlexafffundvenueabout
Alan Vyse, Suzanne W. Simard

Bibliographic record

VenueThe Forestry Chronicle · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsThompson Rivers UniversityUniversity of British Columbia
FundersForest Genetics Council of British Columbia
KeywordsAgroforestryReforestationAfforestationBalsamSeed orchardPulpwoodGeographyForest managementForestryBiologyBotany

Abstract

fetched live from OpenAlex

The principal broadleaves in Interior British Columbia (trembling aspen, paper birch, balsam poplar and black cottonwood) are well distributed across all of the major Interior ecological zones but their occurrence is greatest in the northern areas. Their utilization has gradually increased over the last 20 years, especially in the north. Economic values are low compared to conifer species but shortage of conifer timber as a result of the mountain pine beetle epidemic could drive demand for broadleaves higher. The ecological and non-timber values of broadleaves are very high; however, management practices still favour conifer species. Retention of broadleaves in harvesting and reforestation programs is widely implemented, but at a very low intensity and with little attention to broadleaf silvics. Future management of broadleaves is likely to be based largely on natural regeneration of broadleaves and not nursery production. Investments in genetic research should focus on genecology and gene conservation, as well as facilitated migration studies and investigation of pest resistance. Key words: broadleaves, trembling aspen, paper birch, black cottonwood, balsam poplar, management, genetic conservation, genetic improvement

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.163

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.201
Teacher spread0.193 · 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

Citations4
Published2009
Admission routes4
Has abstractyes

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