The Panama and Paradise Papers. The Rise of a Global Fourth Estate
Bibliographic record
Abstract
This article theorizes the work of the <i>International Consortium of Investigative Journalists</i> (ICIJ). This work is motivated by the need to link recent large-scale ICIJ projects such as the Panama and Paradise Papers revelations to ongoing theoretical discussions about emergent forms of journalism. It is argued that the ICIJ provides evidence of the emergence of a “global network journalism” characterized by a particular epistemology (a global outlook on social reality) that is embedded in a networked rationale. It is further suggested that this journalistic practice paves the way for the media’s role as a global fourth estate, responding to the budding demand for a new type of reporting that influences political decisions and expressing society’s development toward an internalized sense of globalization. We discuss the usefulness of applying the presented concepts to other cases than the ICIJ and provide suggestions for further studies.
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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 | 0.013 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.009 | 0.024 |
| Scholarly communication | 0.020 | 0.020 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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 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".