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
The impact of COVID-19 on tourism has been enormous across the globe. The successful recovery of the tourism industry at the local, national, and global levels is strictly dependent on the efficient contention and mitigation of the COVID-19 pandemic at the global level and on the capacity of tour operators, governments, and other actors to generate complete trust among tourists. In this article, we examine the biosecuritization of Lisbon (Portugal) and the efforts carried out by the administration to preserve the city as a COVID-free urban destination. In this sense, we will examine two main strategies that have received little attention from the scholarly community, namely (i) the strengthening of repressive, punitive, and criminalizing policies against suburban working-class youths ('the perilous') within the scope of guaranteeing a COVID-free city for tourists ('the untouchables'), and (ii) the (in)governance of the urban night of Lisbon during the current pandemic. In the last section, we will argue how mobility restrictions, lockdowns, and nighttime curfews have shown us how central culture, arts, entertainment, and leisure are for not only the cultural and social life of many young and adult people in Europe but also for their socio-emotional wellbeing.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| 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