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Record W2597242073 · doi:10.4000/ifha.1536

SELTER, Bernward, Waldnutzung und ländliche Gesellschaft. Landwirtschaftlicher »Nährwald« und neue Holzökonomie im Sauerland des 18. und 19. Jahrhunderts

2013· article· de· W2597242073 on OpenAlexaff
Christophe Duhamelle

Bibliographic record

VenueRevue de l’Institut français d’histoire en Allemagne · 2013
Typearticle
Languagede
FieldAgricultural and Biological Sciences
TopicHorticultural and Viticultural Research
Canadian institutionsInstitut d'Histoire de l'Amérique Française
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Vers 1780, le Sauerland (sud-est de la Westphalie) n’offre pas une image très engageante: le sol est pauvre et accidenté, le climat est rude. Les cultures sont si extensives (la jachère domine largement) que l’utilisation des forêts en est le complément indispensable; en fait, la limite entre terrains boisés et terrains cultivés est encore floue. Les troupeaux, en particulier, tirent un maigre profit de toutes les surfaces. La propriété des forêts est elle aussi mal définie, et s’accompagne ...

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)0.001
metaresearch head score (Gemma)0.001
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 score0.129
Threshold uncertainty score0.256

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.003
Scholarly communication0.0030.004
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0200.003

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 head0.026
GPT teacher head0.265
Teacher spread0.239 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

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