“Don’t Think But Look:” Using Wittgenstein’s Notion of Family Resemblances to Look at Genocide
Bibliographic record
Abstract
This article contributes to the ongoing and growing scholarly conversation concerning how best to define the term “genocide” following Raphael Lemkin’s coining of the term in 1944. The article first shows that the Convention definition ratified in Paris in 1948 was intended solely for juridical purposes and does not reflect Lemkin’s deeper understanding of genocide. It then surveys a range of scholarship after Lemkin that argues for alternative definitions of term or even calls for jettisoning the term altogether. While it is acknowledged that a clear definition is imperative in a juridical context, it is argued that there are problems and even dangers in demanding definitional precision. For purposes of coming to terms with the multi-dimensionality and complexities of genocidal events or the genocidal process, Wittgenstein’s notion of family resemblance provides an alternative way of seeing genocide that avoids the dangers of definition.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".