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Record W1012990278 · doi:10.4000/books.pur.89133

Des savants pour protéger la nature

2015· book· fr· W1012990278 on OpenAlexaboutno aff
Rémi Luglia

Bibliographic record

VenuePresses universitaires de Rennes eBooks · 2015
Typebook
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

L’urgence écologique, l’érosion de la biodiversité, l’impératif du développement durable : autant de sujets qui portent des défis lourds pour nos sociétés, pour les citoyens. Ces interrogations, ces inquiétudes ne sont pas nouvelles. Elles ont une histoire qu’il faut convoquer afin de mieux comprendre les enjeux d’aujourd’hui. Les préjugés sont nombreux : le souci de protéger la nature serait apparu seulement avec l’écologie politique, dans les années 1960 ; la France aurait toujours été en retard dans ce domaine. Ces affirmations sont à nuancer, sinon à contredire. Pour y contribuer, ce livre s’attache, selon un recul temporel indispensable, aux cent premières années de la Société d’acclimatation – avant qu’elle ne devienne la Société nationale de protection de la nature. Au long d’un siècle, elle a, entre autres succès, créé des réserves naturelles (Sept-Îles en 1912, Camargue en 1927, Néouvielle en 1935 et Lauzanier en 1936), organisé les deux premiers congrès internationaux de protection de la nature (1923 et 1931), empêché la disparition du castor en France (1909), et fondé la Ligue pour la protection des oiseaux (LPO, 1912). L’émergence d’une ambition, la dynamique d’une efficacité, les mutations d’un propos, la diversité des acteurs : tout un monde resurgit ici, dont les leçons n’ont rien perdu de leur force.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.340
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.005
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.032
GPT teacher head0.250
Teacher spread0.219 · 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 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

Citations18
Published2015
Admission routes1
Has abstractyes

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