4 | 1 | 2024 Epic, Ecocriticism, and Aesthetic Anthropology: New Approaches to the Environmental Challenges
Bibliographic record
Abstract
2024 is a year that since its inception has been characterized by a series of wide-ranging international events in favour of the environment, biodiversity and global sustainability.The United Nations Environment Program (UNEP) launched, again this year, a work program to support multilateralism, dialogue and actions based on science, innovation and partnerships, to safeguard the planet.In this context, Sixth Session of the United Nations Environment Assembly (UN-EA-6), hosted in February in Nairobi (Kenya), emphasized the urgency of promoting effective and sustainable multilateral actions to combat climate change, biodiversity loss and pollution.A frenetic decade of action has been envisaged by Member States to develop the network of interaction and dialogue necessary to meet these global challenges.In the following months, from March to June, other events of global importance took place, such as the International Day of Zero Waste, against unsustainable humanity consumption and production practices or The Fourth Session of the Intergovernmental Negotiating Committee in Ottawa (Canada), to develop an international legally binding instrument on plastic pollution, including in the marine environment.Alongside the major meetings, a true constellation of other international days for the environment has developed, such as those concerning wetlands and human beings, migratory birds, 'Mother Earth', biological diversity, wildlife, etc.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.030 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.040 | 0.004 |
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".