Bibliographic record
Abstract
COP26 concluded with mixed results. It was the first formal opportunity since the 2015 Paris Agreement for countries to revise their nationally determined contributions (NDCs) for the 2030 targets and to offer long-term greenhouse-gas reduction strategies to 2050. Pledges were made. Early indications suggest that if the pledges covering about 90% of global emissions are followed by action and completed in full and on time, a temperature increase of around 1.8°C to 2.1°C by 2100 could be seen. But without stronger actions taken to 2030, the temperature will likely be higher, according to IPIECA. The Paris Agreement set a global framework “to avoid dangerous climate change by limiting global warming to well below 2°C and pursuing efforts to limit it to 1.5°C. It also aims to strengthen countries’ ability to deal with the impacts of climate change and support them in their efforts.” Even before COP26 began, a pledge made in 2009 and reaffirmed at the 2015 Paris meeting was stirring up frustration. A target was missed for rich countries to provide poor nations with $100 billion in aid each year to confront global warming. Current data show the goal, which was to have been met in 2020, won’t be reached until 2023—3 years later than agreed. The report was compiled by Canada’s Minister of Environment and Climate Change, Jonathan Wilkinson, and Germany’s Deputy Environment Minister, Jochen Flasbarth. They drew on international climate finance tracking data provided by the Organization for Economic Cooperation and Development. Flasbarth, quoted by the Associated Press, said, “Not all of our conversations were really (...) polite,” referring to talks that had taken place with rich and poor nations in recent weeks. A catch-up plan was drafted for COP26. Alok Sharma, the UK official who chaired the talks about this issue, said, “The plan provides confidence that the $100 billion will be met in 2023, and importantly, it projects that the $100 billion will be exceeded in subsequent years, with up to $117 billion being mobilized in 2025.” While it’s clear that much work needs to be done to move toward the temperature goal, it also can’t be denied that incremental progress has been made. Business models, practices, and operations have changed across the oil and gas industry and will continue to do so as energy transition, climate, and oil and gas prices drive decisions. A case in point was Shell’s announcement on 15 November that it intends to move its tax residence from the Netherlands to the UK, where it is incorporated. CEO Ben van Beurden and other top executives will move to a UK corporate headquarters. One of the reasons given was that “ … it’s even more important that we have an increased ability to accelerate the transition to a lower-carbon global energy system. A simpler structure will enable Shell to speed up the delivery of its Powering Progress strategy, while creating value for our shareholders, customers, and wider society.” COP27 is scheduled for December 2022 in Sharm El-Sheikh, Egypt. Another tallying of actions delivering on pledges will take place and the world will be watching—skeptics, supporters, and those who have acted to build the momentum toward the goal.
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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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".