The front page as a time freezer: An analysis of the international newspaper coverage after the <i>Charlie Hebdo</i> attacks
Bibliographic record
Abstract
This article argues that the front page plays an important temporal and explicative role for audiences, especially when it comes to journalistic work during a disruptive media event such as the Charlie Hebdo attacks. As a special agent of mediatization, the front page offers the possibility of ‘freezing’ the very often long-lasting live coverage of the (ongoing) happenings. It does not stand in opposition to faster communication of news but the front page is a very special journalistic form that opens interesting ways to contemplate news temporalities on another level. Based on a thematic content analysis of 1017 international front pages, this article develops their typology in order to analyze how the event was covered globally and locally, all by pointing out the different journalistic forms that are utilized. The study shows that the type of front page that is emerging allows us to grasp the coexistence of shared visual and textual regimes without leading to a false idea of a totalizing uniformity of information and thus of future social memories.
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.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".