Bibliographic record
Abstract
For those familiar with the sight of Cuban streets, particularly that of Havana, the photos represented in this series of short poems will not be of surprise seeming as different forms of graffiti seen in words, phrases from famous revolutionaries, or quotations from Cuban patriarchs are a common sight and form of political and ideological expression in Cuban culture. Graffiti in this sense sparks not a feeling of societal rebellion in Cuba, but rather takes a very different place in urban Cuban culture promoting often revolutionary ideologies of the past through historical figures and words plastered along concrete walls and structures. Concrete walls, often the urban back drop of such graffiti, takes the form of a common motif throughout these five poems. Concrete represents a structure of durability and consistency that appeals to the message of graffiti throughout the island. Within such a metaphorical statement erupts a scandal of image versus reality in Cuban society, a society which arguably sees revolutionary ideology at work on walls perhaps at times more than within Cuba's growing modern culture that eagerly seeks ways to break through the old concrete ridden streets. That is to say, one is left to question whether the image on the concrete is as "concrete" as it appears.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.016 | 0.015 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".