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Ecosystem Dynamics Of The Boreal Forest

2001· book· en· W4388331901 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEnvironmental Science
TopicAnimal Ecology and Behavior Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTaigaBorealTrophic levelEcosystemEcologyBoreal ecosystemHerbivoreGeographyForest ecologyEnvironmental resource managementEnvironmental scienceBiology

Abstract

fetched live from OpenAlex

Abstract This book describes the Kluane Boreal Forest Ecosystem Project which operated from 1986 to 1996 in the southwestern Yukon. It begins by describing the area and its physical setting, and then the background of the project and the wisdom that had accumulated to 1986, on how this system might operate. The details of the experiments set up are presented, partly to help the reader appreciate the difficulty of working at-40 degrees and partly to aid the reader should they contemplate doing similar experiments in the future. Then they examine the three trophic levels of plants, the herbivores, and the predators in detail to provide some surprises about how the individual species operate within the overall system. Finally, they synthesize their findings in a model of the boreal forest vertebrate community, and provide an overview of what they have discovered and what remains to be done. Over the ten years of this project a large number of students and researchers have joined together to produce a picture which makes major advances in our understanding of the boreal forest ecosystem.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.209
Teacher spread0.200 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations229
Published2001
Admission routes1
Has abstractyes

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