Mesure du développement durable : une évaluation semi-quantitative du volet environnemental pour le cas du traitement des effluents d'une papetière
Bibliographic record
Abstract
Since the beginning of the 1990s, many researchers and several organizations concerned with development- and environment-related issues have devised methods to evaluate sustainable development at national and international scales. To that effect, they have identified sustainable development indicators. To date, however, very little work has focused on industrial activities. This paper presents a semi-quantitative method allowing evaluation of the environmental aspect to sustainable development, with an application on the environmental performance of the effluent treatment procedure of a paper mill. Eight environmental indicators for sustainable development are considered for evaluation. These indicators are linked to the strategic requirements for sustainable development as stated in the Bruntdland Commission. They are also acknowledged by many authors and organizations. The environmental performance evaluation on the effluent treatment procedure of the paper mill under study shows that this activity meets a relative degree of sustainability. This evaluation allows the identification of the strengths and weaknesses of the effluent treatment with respect to sustainable development.Key words: indicators, sustainable development, measure, environmental performance, biologic treatment, effluents, paper mills.[Journal translation]
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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; a candidate call from one teacher head, not a consensus.
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".