Riflessioni sullo stato di “abbandono” dei popolamenti forestali: bene auspicato o paventata negatività?
Bibliographic record
Abstract
References Andreatta G., 2022a - Il paradosso della carne a "chilometro zero" e del carbone a "chilometri diecimila". Silvae.it - Rivista tecnico-scientifica e ambientale dell'Arma dei Carabinieri; https://www.carabinieri.it/media---comunicazione/silvae/la-rivista/aree-tematiche/energie-alternative/il-paradosso-della-carne-a-chilometro-zero-e-del-carbone-a-chilometri-diecimila Andreatta G., 2022b - La ricerca del punto di equilibrio per la gestione selvicolturale dei popolamenti forestali. L'Italia Forestale e Montana, 77 (2): 89-96. https://doi.org/10.36253/ifm-1710 Ciancio O., 2011 - Systemic silvicolture: philosophical, epistemological, methodological aspects. L'Italia Forestale e Montana, 66 (3): 181-190; https://doi.org/10.4129/ifm.2011.3.01 Ciancio O., 2014 - Storia del pensiero forestale. Selvicoltura, filosofia, etica. Rubbettino Editore, Soveria Mannelli (CZ), 546 p. Ciancio O., Nocentini S., 2011 - Biodiversity conservation and systemic silviculture: concepts and applications. Plant Biosystems, 145 (2): 411-418; https://doi.org/10.1080/11263504.2011.558705 Nocentini S., 2019 - La gestione del bosco come sistema biologico complesso: una questione di teoria e di metodo. L'Italia Forestale e Montana, 74 (1): 11-23; https://doi.org/10.4129/ifm.2019.1.02 Nocentini S., Buttoud G., Ciancio O., Corona P., 2017 - Managing forests in a changing world: the need for a systemic approach. A review. Forest System, 26: 1-15; https://doi.org/10.5424/fs/2017261-09443 Nocentini S., Ciancio O., Portoghesi P., Corona P., 2021 - Historical roots and the evolving science of forest management under a systemic perspective. Canadian Journal of Research, 51: 163-171; https://doi.org/10.1139/cjfr-2020-0293
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.012 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".