On the move in times of war and exile: Engagement, continuities, and caesura in the paths taken by Syrian activists in Lebanon
Bibliographic record
Abstract
Depuis le déclenchement des soulèvements populaires en Syrie en 2011, des militants syriens ont tenté de descendre dans les rues et de dénoncer le régime baathiste. Sous l’effet de la répression, un nombre de manifestants pacifistes prennent les armes, ou rejoignent des groupes islamistes radicaux. Beaucoup d’entre eux quittent la Syrie pour s’installer dans des pays voisins, dont le Liban, et organisent des formes de résistance plus invisibles, apportant de l’aide aux personnes déplacées en Syrie ou aux réfugiés au Liban. Cet article se concentre sur la carrière des activistes syriens au Liban et retrace les notions d’engagement, de révolution et de mobilisation ainsi que les réseaux de solidarité et de résistance au sein de ces cercles militants. À travers les récits de vie et les carrières de militants basés au Liban, les recherches portent sur les expériences et pratiques vécues par les militants, leurs débats contradictoires, leurs réseaux de solidarité, leurs stratégies et leur invisibilité dans l’espace public, et les suivent jusqu’à la « fin » de leur engagement au Liban.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.018 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".