Foundations, ENGOs, Clean-Growth Networks and the Integral State
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
‘Clean-growth’ has been embraced by a professionalized segment of environmentalism as a project that aspires to meet Canada’s international climate commitments while supporting a robust rate of capital accumulation. This study situates clean growth within the network that reaches from Canadian foundations that are major donors, to the clean-growth ENGOs that receive the funds, and to other relevant civil-society, state and capitalist organizations, whose governance boards interlock with those of the foundations or the clean-growth ENGOs. Clean-growth initiatives are embedded within a configuration of facilitative funding and governance relations that include major corporate interests but do not extend to the more critical, transformative segment of Canada’s environmental movement. Funded by foundations and partly governed by corporate executives, clean-growth comprises an aspect of the integral state, working to mobilize popular support and technical expertise for a project of climate (in)action that suits dominant business interests.
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 | 0.001 | 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 | 0.001 |
| 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 it