Narrating Palestinian refugees in Lebanon: space, civil society and the moral economy of refugees
Bibliographic record
Abstract
This thesis moves beyond the narrative of an essentialized, homogeneous Palestinian identity and instead historicizes and teases out the complexities of Palestinian identities. This work explores how refugee camps in Lebanon function as homes and as sites of memory and identity, but also as sites of marginalization and places of control. By engaging with Palestinians living outside the camps, I argue that all of Lebanon serves simultaneously as a home and as a carceral space. This project also explores how civil society and socio-economic status affect perceptions of identities. These factors are discussed within the parameters of the Lebanese socio-political context and against the constraints of power enforced by the Lebanese state. Through using oral histories, I explore how the past affects the present and how individuals assert their identities and make sense of their present and future lives as they process grand narratives that have been passed through generations.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".