“Do You Know Who You Are?” Radical Existential Doubt and Scientific Certainty in the Search for the Kidnapped Children of the Disappeared in Argentina
Bibliographic record
Abstract
Abstract During the Argentine military dictatorship (1976–83) up to 30,000 people disappeared. Included among them were an estimated 500 children who were handed over to families related (or with close ties) to security forces. The Grandmothers of the Plaza de Mayo formed to discover their fate. During the 1980s, the Grandmothers used newly available genetic technologies as a means of verifying the identities of potential grandchildren to reunite them with their biological families. In the 1990s, custody was no longer an issue because the children were legally adults. Forced to change their strategy, they embarked on public campaigns directing those with “doubts about their identity” to contact the organization. This article provides an ethnographic analysis of these public campaigns to advance theoretical perspectives on the nature of embodied truth and the transformation of individual concerns regarding personal identity to collective doubt regarding national identity and belonging. [identity, human rights, genetics, history, politics, memory]
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.012 | 0.014 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".