The Consequences of Some Angry Re-Tweets: Another Medium is the Message
Bibliographic record
Abstract
Abstract Most research on the Gulf states focuses on oil and its impact on state power. The literature on rentier theory almost unanimously agrees that oil rents buy off citizens and lead to socio-political stagnation. Massive protests and government attempts to address citizen demands in Kuwait between 2011 and 2013 call into question that narrative. Since those protests, the Kuwaiti government has taken steps to increase its representation of public officials and accessibility in the public sphere, including by expanding the government's presence on Instagram. How have Kuwaiti citizens voiced their opinions to government accounts? And how has the government responded to online criticism? This essay looks at the pattern of interactions between the state and Kuwaiti citizens on Twitter and Instagram using a content analysis of government accounts. The findings raise questions about the validity of the payoff thesis and understandings of consent and acquiescence. My analysis illustrates that there is a public dialogue that moves beyond the rigid structure of state and society by which the literature has traditionally understood Gulf rentier societies.
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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 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".