From #[Je]F suis Charlie to #JeSuisCharlie
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
Abstract Je suis Charlie was used over 619.000 times in the two days that have followed the attack of Charlie Hebdo and has regularly been taken up in both written and spoken forms since. A number of variants of this meme (i.e. Nous sommes tous (des) Charlie ) have also emerged among French speakers. We argue that this is primarily related to the fact that the structure of Je suis Charlie actually clashes with its meaning. Whereas its word order and default rightmost sentence stress are compatible either with an all-focus reading or a narrow focusing of Charlie , the solidarity/empathy message it communicates suggests that its subject is narrowly focused. We propose that two strategies have emerged to solve this conflict: (i) various alternative forms have appeared that allow proper subject focusing and (ii) speakers have reinterpreted the original structure so as to pragmatically retrieve the (additive) focused nature of the subject.
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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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