Bibliographic record
Abstract
The dissertation reinterprets the concept of forces of production through an ecological lens and analyzes the fettering of “green productive forces” in the context of the deepening climate crisis. In contrast to more established interpretations, I define forces of production broadly as the practices, processes, relations and objects through which we are purposefully linked to and transform the rest of nature. I demonstrate the basis for this interpretation in Marx’s own work and develop its implication through contemporary scholarship. In present circumstances, it allows us to see that ecological knowledge itself, as well as associated developments in renewable energy technology and green infrastructure, represent advancements in productive forces. However, I argue that such green productive forces are today fettered by capitalist relations of production. The second portion of the dissertation analyzes this process through case studies focusing on Canadian fossil capitalism. In this context, I examine the deepening of fossil-fuelled productive forces and simultaneous blockages in the development and productive utilization of renewable energy and ecological knowledge. This includes a focus on carbon capital’s strategic efforts to colonize such productive forces and fashion them in a manner that is consonant with the accumulation strategies and power relations permeating fossil capitalism.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".