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Record W2147402309 · doi:10.1139/x02-127

Structure de sapinières aménagées et anciennes du massif des Laurentides (Québec) et diversité des plantes invasculaires

2002· article· en· W2147402309 on OpenAlexvenueaboutno aff
Mireille Desponts, André Desrochers, Louis Bélanger, Jean Huot

Bibliographic record

VenueCanadian Journal of Forest Research · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicForest Ecology and Biodiversity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLichenBiodiversityOld-growth forestCoarse woody debrisEcologyBiologyGeographyForestryHabitat

Abstract

fetched live from OpenAlex

This study was undertaken to determine the contribution of old-growth and senescent forest stands regenerated through clear-cutting to the biodiversity of wet boreal fir stands in eastern Quebec because overmature stands are becoming scarce in that region. The study area was located in the Laurentian Mountains north of the city of Québec. The structure and composition of nonvascular plant communities (mosses, hepatica, lichens, and saprophytic fungi) of old-growth forests were compared with those of mature or senescent fir stands harvested 60 years ago. Nonvascular plants have a more uniform structure and a lower diversity in mature than in senescent or old-growth forests. A variety of specialized soil- and wood-inhabiting species and many rare species not observed in mature stands regenerated through clear-cutting are found in the latter. Structural diversity of senescent second-growth fir stands becomes similar to that of old-growth stand because of mortality within the overstory. These structural characteristics favour the development of diversified nonvascular plant communities, especially wood-inhabiting species found on slightly decomposed woody debris and soil-inhabiting species that colonize disturbed soils.[Journal translation]

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 score0.042
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.063
GPT teacher head0.242
Teacher spread0.179 · 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

Citations28
Published2002
Admission routes2
Has abstractyes

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