Bibliographic record
Abstract
Приведены результаты международной экспедиции, проведенной в 1993 г. с целью рекогносцировочного обследования инфраструктуры нефтегазового комплекса и состояния лесоболотных экосистем для установления главных проблем, на которых следовало бы сосредоточить усилия при научной проработке их решения. The paper covers information on the international expedition in August 15-30, 1993 in the Tumenskaya region territory in "Noyabrskneftegaz" (Noyabrsk) operation area in the Taz river basin (Krasnoselkup). 19 forest environmental specialists from Russia and 14 foreign experts from the USA, Canada, Austria, England, France and Greece participated in the expedition. Key expedition goal – expert assessment of environmental condition of forest wetland packages subject to man-made stress in oil and gas field development areas and search of solutions to address North West Siberia nature conservation challenges of world-wide value. The expedition findings noted that human disturbed areas in surveyed territory need forest recultivation aimed at arrangement of fast recovery of initial vegetation communities and whole biocoenocises. Recultivation of these lands needs technologies that ensure faster recovery of young vegetation communities compared to available ones. Based on natural facility condition reconnaissance survey the expedition stated its view of forest swampland pattern condition and suggested operations to improve North nature protection activities completely presented in "North forest explorer international expedition report" entrusted to the custody of the local history museum in Noyabrsk, Yamalo-Nenetsky autonomous district.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".