Bibliographic record
Abstract
Born in Cadiz, Andalusia, and a member of what is known as the Generation of ’27, Rafael Alberti started his career as an avant-garde painter. He began to paint when his family moved to Madrid in 1917, and later in his life, he admitted to thinking of himself as a painter before a poet. He started writing poetry in 1920, publishing some of his early works in the ultraista literary review Horizontes. His first book of poems, Marinero en tierra [Sailor in Land], won the prestigious Premio Nacional de Literatura [National Prize for Literature] in 1925. Soon would follow La amante [The mistress] in 1926 and El alba del alhelí [Dawn of the Wallflower], published in 1927. All three of these works were inspired by neo-popularismo, one of the various literary trends that influenced the Generation of ’27. The arrival of Alberti at the Residencia de Estudiantes [Student Residence] in 1924 marks a crucial moment in his life; it was at the Residencia that he met most of the members that would later form the Generation of ’27: Federico García Lorca, Salvador Dalí, Luis Buñuel, Jorge Guillén, Gerardo Diego, Pedro Salinas, Vicente Aleixandre and Dámaso Alonso, among others.
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 | 0.000 | 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 | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.016 |
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".