Call for Inputs: Climate Change and Human Rights: A Safe Climate
Bibliographic record
Abstract
There is now global agreement that human rights norms apply to the full spectrum of environmental issues, including climate change. The previous Special Rapporteur on human rights and the environment, Mr. John Knox, developed Framework Principles on Human Rights and the Environment that set forth three sets of duties that engage both States and businesses: procedural obligations; substantive obligations; and obligations relating to those in vulnerable situations.\nThe current Special Rapporteur on human rights and the environment, Mr. David Boyd, is working to provide additional clarity regarding the substantive obligations relating to a range of elements that are essential to the enjoyment of a safe, clean, healthy and sustainable environment. His first report to the Human Rights Council addressed air pollution and associated obligations. He is now preparing a thematic report focusing on human rights obligations related to global climate change. For that purpose, he is seeking inputs on the topic from States and stakeholders through responses to the brief questionnaire below.\nYour replies will inform the Special Rapporteur’s analysis and contribute to his report, which will be presented to the General Assembly in October 2019.\nQuestionnaire submission by:\nSara L Seck, Associate Professor, Marine & Environmental Law Institute, Schulich School of Law, Dalhousie University, Nova Scotia Canada Sara.Seck@dal.ca\nAnd\nLisa Benjamin, post-doctoral fellow, Marine & Environmental Law Institute, Schulich School of Law, Dalhousie University, Nova Scotia Canada Lisa.Benjamin@dal.ca
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 | 0.004 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.020 | 0.010 |
| Insufficient payload (model declined to judge) | 0.391 | 0.129 |
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".