The official discourse of the Moroccan authorities and their allies in the greening of their public policies: modernisation of authoritarianism, international insertion and the fight against climate change
Bibliographic record
Abstract
The Middle East and North Africa (MENA) region is one that is largely characterized by authoritarianregimes. Much traditional scholarship writes many of these regimes off as anti democratic, and hencenegate the possibility to work meaningfully and effectively with these regimes toward important globalgoals. By engaging in a post-democratic approach this paper looks beyond what Morocco is lacking inthe way of democratic principles and norms and instead focuses on the beneficial action it is taking tofight climate change domestically, and ultimately work with the international community to contributeto global climate goals. This paper explores the many initiatives the Moroccan regime is undertaking atits own behest, while exploring the key actors in these activities as well as the main impetus for doingso. Ultimately it builds data toward conclusions that although the Moroccan regime is doing this is largepart to further solidify and legitimize its own power, it is simultaneously taking important actions thatare beneficial to its own people as well as the rest of the world. In this sense the authoritarian Moroccanregime is combating climate change, as a means to maintain and bolster its own grip on power in theregion.
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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.019 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".