From Expression to Expulsion: Digital Public Spaces as Theatres of Operations in Nepal
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
On 2 May 2016, Robert Penner, Canadian national residing in Nepal with a working visa, was arrested and then deported to Canada and his visa being cancelled. Based upon an analysis of the documentation related to his arrest and expulsion, this article analyses the articulation of different operations of control. A chain of public interventions and governmental actions makes the substance of the management of digital expression in Nepal and this has to be analysed with tools from media studies and science and technology studies. We present different operative regimes: Twitter accounts and discussions, police action and arrests, and court petitions. We analyse how operational levels are connected and how their interconnections lead to the criminalisation of one individual, most notably through the reformulations of the accusations by different groups of people via different devices. This in turn shows how specific technical interventions determine the control of the public space. These analyses then add to the debate upon the ‘digital public sphere’ by offering a critique of its spatial metaphor from a view focused on its performative stakes—public spaces not as sites of discussion, but as theatres of operations.
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 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| 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 it