Beyond the Protective Effect: Towards a Theory of Harm for Information Communication Technologies in Mass Atrocity Response
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Information Communication Technologies (ICTs) are now being employed as a standard part of mass atrocity response, evidence collection, and research by non-governmental organizations, governments, and the private sector. Deployment of these tools and techniques occur for a variety of stated reasons, most notably the ostensible goal of “protecting” vulnerable populations. However, these often experimental applications of ICTs and digital data are occurring in the absence of agreed normative frameworks and accepted theory to guide their ethical and responsible use. This article surveys the current state-of-the-art of ICT use in mass atrocity response and research to identify harms and hazards inherent in the use of ICT-centric approaches in mass atrocity producing environments. The article proposes an initial theory of harm for evaluating the potential risks and impacts of these applications as a critical component of developing ethical standards for the responsible use of ICTs in the mass atrocity response context.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.002 |
| 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 it