Embodying Resistance: Power as Internal Resistance in Fanon's Black Skin, White Masks
Bibliographic record
Abstract
Commonplace definitions of resistance define it as specific form of political resistance; as a process in which individuals’ band together in hopes of resisting a particular structure and achieving a common goal – but Fanon differs in this regard. For Fanon, resistance must be a twofold project: before individuals deploy higher-order methods of resistance, such as social and political resistance, he urges us, by way of demonstration, to adopt methods of internal resistance. Therefore, a philosophy of resistance must not only manifest itself in social and political practices; it must also serve as an embodied philosophy that individuals adopt in their everyday lives. Thus, my intention here is to investigate notions of power and resistance within Frantz Fanon’s Black Skin, White Masks. More specifically, I seek to show that in Black Skin, White Masks Fanon’s conceives of those bearing power as having the capacity to resist – a capacity that is derived from within. Power, then, can manifest itself as a form of self-motivated, embodied resistance towards systems and structures that impact an individual’s internal disposition – their beliefs, lenses, and psychological temperament. However, in order to develop an account of self-motivated, embodied resistance, we also need to develop the proper philosophical tools that can be used to draw the boundaries between power and dominance, to combat the possibility of false self-motivation, and to provide a working definition of self-motivation, embodiment, and resistance.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.027 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".