The Role of the Media and Civil Society in Intelligence Accountability
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
This article analyses the accountability of intelligence agencies in Spain and Brazil. Drawing from critical intelligence studies, this article will argue that the goal of accountability is to expand legitimacy by incorporating the civil society. This requires redeveloping the scope of intelligence and its audience beyond legal norms and traditional decision-makers. To do so, the article will consider the following actors: 1) the media; 2) whistleblowers and leaks; 3) scholars; and 4) fiction writers. These actors may complement intelligence by gathering information or acting as knowledge advisory groups. Moreover, they can also challenge intelligence by promoting deeper scrutiny and transparency, while constructing archetypes that represent secret agencies. The conclusion will summarize the strengths and limitations deriving from these actors to promote accountability. It will also claim that, through a critical approach, exploring new accountability forms are necessary to expand the social legitimacy of intelligence policies. Received: 2022-10-07Revised: 2022-01-05
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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