Comptabilisation du capital naturel dans la productivite du secteur de l'extraction miniere et de l'extraction de petrole et de gaz
Bibliographic record
Abstract
Le present document propose un cadre comptable de la croissance ou les ressources minerales et energetiques souterraines sont reconnues comme etant un facteur capital naturel dans le processus de production. Il s'agit de la premiere etude en ce genre au Canada. Le revenu attribuable aux ressources souterraines, ou rente des ressources, est estime comme plus-value apres comptabilisation de tous les couts d'extraction et du rendement normal du capital produit. La valeur d'une reserve de ressources est ensuite estimee comme valeur actuelle des futures rentes de ressources generees par une extraction efficace de la reserve. Enfin, avec l'extraction comme flux de services observes du capital naturel, on peut reevaluer la croissance de la productivite multifactorielle (PMF) et les autres sources de croissance economique en mettant a jour la repartition du revenu entre tous les facteurs, puis en estimant la contribution a la croissance decoulant des fluctuations de la valeur du facteur capital naturel. Le present cadre est ensuite applique au secteur canadien de l'extraction de petrole et de gaz.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".