Strangers in a strange land: visualizing Syrian refugees in U.S., Canadian, and Lebanese newspapers
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
Although news photographs of refugees are often perceived as objective representations \nof reality, they are actually the product of subjective decisions made by photographers and \neditors. These subjective realities are reinforced by captions when they are published in \nnewspapers. Using a quantitative content analysis method, this study aims to understand how \nSyrian refugees were framed visually and lexically in the online editions of national newspapers \nfrom the United States, Canada and Lebanon from 1 September 2015 to 31 March 2017. \nPhotographs, accompanying captions and headlines were collected from the New York Times \n(United States), the Globe and Mail (Canada) and Annahar (Lebanon). Eighteen variables were \ndesigned and adapted from previous research to code the sample. The results of this study \ncomplement previous research on framing of the current refugee crisis, much of which focuses \non European newspapers. This paper provides valuable insight into how representation of Syrian \nrefugees in Anglophonic newspapers compares to that of Lebanese newspapers.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it