TEN GREEN TESTS FOR THE ITALIAN PRESIDENCY
Bibliographic record
Abstract
and Canada that was finalised in May 2014 as it is understood to include a highly problematic and fundamentally undemocratic Investor State Dispute Settlement (ISDS) mechanism which could expose the EU and national governments to expensive lawsuits for passing environmental legislation; Oppose the inclusion under the Transatlantic Trade and Investment Partnership (TTIP) of an ISDS mechanism, as Australia successfully did in its recent trade deal with the US, and of regulatory cooperation provisions which would effectively restrict the freedom of the EU to legislate to protect the environment; Counter the growing tendency for the economic crisis to be used as an excuse to push for deregulation in the environmental sector and challenge ideologically motivated attacks on environmental protection standards. 2. Support the adoption of an ambitious air package Support the adoption of an air package achieving the objective of the 7th Environmental Action Programme by 2030, i.e.; attain "levels of air quality that do not give rise to significant negative impacts on and risks to human health and
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.012 | 0.012 |
| Insufficient payload (model declined to judge) | 0.032 | 0.008 |
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".