Get over it? The true effects of violence in the Francophone world
Bibliographic record
Abstract
Abstract: Get over it? Is an invitation to explore the Francophone world and the lingering effects of its unseen violence. This research project took us to four countries (Canada, Algeria, Martinique, Guinea), and explored the voice of the people, often unheard, but directly affected by French colonialism and it’s invasive forced assimilation. The measurable effects of colonialism, or the “what”, are of course data points that are easily found in economic exchange, raw resources depletion, ideological education, technology, etc... However, the unseen effects, or the “how”, on the core identity of a people is more nuanced, subtle, and yet more impactful. Findings: We intend to explore a form of violence that results in the loss of the self and the fragmentation of individualism. French colonization resulted in violent repercussions that exist in ex-colonies to this day. Violence of identity loss is unique to the individuals in each country. The French never fostered a sense of cultural cohesion, instead assimilation. Forced individuals of a country to be torn apart between two cultural, disharmonious forces. Power differential exists not only internally but on a global platform Fragmented identity results in a loss of individual power, cultural potential power, and global presence due to the self hating ingrained beliefs. Artist's Statement We were inspired to explore this subject because it is the duty of the artist to redefine our human experience and represent the voices of the past. With this in mind, we researched authors that were passionate about exposing their experiences and are little read. Uncovering the words of history helps us to overlay the lense of knowledge in our outlook of the world today. We must always remember the capacity that literature has to help us understand, and respect one another, as a part of humanity’s collective whole.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.014 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".