Twisted at the Root: Capitalist Alienation, its Re‐Inscription, and Implications for Education
Bibliographic record
Abstract
Abstract Capitalism inheres alienation as a fundament of modern life, twisting the root of being such that a sense of pervasive estrangement becomes the condition undergirding much of our phenomenal existence. Alienation, I argue, formed in the cleavage of capital mediation, leaves us reinscribing its tenor across multiple spheres, as we are compelled to not only maximize capitalist growth, but also maintain the fullness of capitalism beyond the economic realm. To locate this argument, I begin with a brief description of Marx's analysis of capital as an alienating force. In the second section of the article, I employ Heidegger's existential analytic to argue that capitalist alienation is a perversion that shifts and informs how we exist, as we are called not only to accumulate but also to justify capitalism as a reifying force. I approach the analysis by looking at three phenomena: first, the issue of transcendental debt; second, the emergence of neoliberal idle talk as a supplement to capitalism; third, the oppression of the built environment, as capitalist efficiencies are prioritized in a globalizing world. Given the robustness of phenomenal encounters with capitalism, it is increasingly difficult to argue that education might offer solutions for issues of alienation. Nonetheless, this very prevalence is what makes the stakes of some kind of educational response clear. As such, I conclude the article with an exploration of what might be done to disrupt capitalist tendencies through a pedagogy of respite.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.069 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".