Constitutional Environmental Human Rights: A Descriptive Analysis of 142 National Constitutions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper provides a detailed keyword analysis of the 142 out of 198 national constitutions that include at least one reference to the environment as of 2010. Out of these 142 constitutions, 125 contain provisions that are explicitly related to environmental human rights, and ten include a direct human right to water. Focusing mostly on the language of the provisions and the age of the constitutions (not the age of the provision itself), the analysis provides insight into the extent to which countries are taking environmental human rights seriously. The findings note that constitutions that reference the environment are, on average, generally younger in age than those that do not. This is also the case for developing versus developed countries, and Non-OECD (Organization for Economic Cooperation and Development) versus OECD member countries. Constitutions that have a direct human right to water are, on average, even younger. The paper also develops a simple index of the legal strength of constitutional environmental human rights provisions and offers the data as an alternative, positive (versus subjective) specification to a similar set of data compiled by the Toronto Initiative for Economic and Social Rights (TIESR).
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.
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 | 0.001 | 0.008 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it