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Record W2113780420 · doi:10.7202/004840ar

Dynamique d’un front forestier sur un talus d’éboulis actif en climat tempéré froid (Gaspésie, Québec)

2002· article· fr· W2113780420 on OpenAlexvenueaboutno aff
Manuel Lafortune, Louise Filion, Bernard Hétu

Bibliographic record

VenueGéographie physique et Quaternaire · 2002
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicSoil erosion and sediment transport
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesGeologyForestryGeographyArt

Abstract

fetched live from OpenAlex

Cette recherche a permis de reconstituer, pour les deux derniers siècles, l'évolution de la végétation forestière sur un talus d'éboulis de la vallée de la rivière à Pierre, en Gaspésie. Les données dendroécologiques ont permis de faire ressortir que la limite supérieure de la forêt était plus basse que la limite actuelle vers le milieu du XIXe siècle, que la végétation forestière a connu une phase d'expansion jusque vers le milieu du XXe siècle, bien que certains signes d'instabilité se soient manifestés dès la fin du XIXesiècle. Le front forestier a régressé jusqu'à sa position actuelle après les années 1950. Le taux annuel moyen de sédimentation, calculé par des méthodes dendrogéomorphologiques, a été inférieur à 0,1 cm pendant la deuxième moitié du XIXe siècle pour ensuite atteindre 0,5 cm/an, puis excéder 1,0 cm/an après 1975. L'activité plus importante dans le versant serait associée à une fréquence accrue des coulées de pierres glacées.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.673
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.015
GPT teacher head0.207
Teacher spread0.192 · 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; both teacher heads agree on what is shown here.

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

Citations40
Published2002
Admission routes2
Has abstractyes

Explore more

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