What do we talk about when we talk about extractivism?
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
The term ‘extractivism' has quickly become the name for every process and practice through which value is generated for capitalism. Given this conceptual ubiquity, what analytic function does this term actually serve? This Afterword to a special issue on Extractivism reflects upon possible reasons why scholars in the humanities have recently become interested in resource extraction, among which is the desire for one's scholarly work to respond to a gathering sense of planetary environmental crisis. Such engaged scholarship may, however, be premised on faulty assumptions about the realms of discourse and experience where it can have effects. Extending Stuart Hall's insights about the need for both commitment and circumspection regarding the work our research can do in the world, this essay considers the relationship between resource extraction as a moment and process under capitalism (or socialism), and extractivism as an ideology and cultural logic that permeates social imaginaries as well as literary and other discourse. Keeping an eye on the materiality of relations and processes dubbed “extractive” is one way of avoiding the conceptual creep, metaphorical inflation, synonymical restatement, and loss of analytical precision that is now developing in the use of the term ‘extractivism.’
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 | 0.000 |
| Scholarly communication | 0.003 | 0.007 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.002 |
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