The Routledge Handbook of Developments in Digital Journalism Studies
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
A paradigmatic shift is sometimes revealed by an unanticipated and extraordinary event, and so it was with Edward Snowden in 2013. A National Security Agency (NSA) contractor, Snowden was so appalled at the exponential expansion of covert digital surveillance that he decided it was his moral duty to inform the public, indeed the world. This he did from a hotel room in Hong Kong when he gave a small group of selected journalists access to 1.7 million classified documents taken from the NSA. These documents revealed the global snooping capabilities of the NSA and its ‘Five Eyes’ intelligence agency partners (ASIO in Australia, CSE in Canada, GCSB in New Zealand, and the GCHQ in United Kingdom). The Five Eyes can vacuum up just about all digital communications anywhere, anytime, and much else besides if they are so minded. Many who take a deep interest in signals intelligence thought these Anglo-Saxon agencies had probably increased their capabilities since 9/11, but even they were shocked when Snowden revealed the sheer scale – it far exceeded any estimate of capability.
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 | 0.001 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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