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
L’Africa subsahariana es un subcontinent d’emigracio1 per excel·lencia. Des de fa diverses decades,2 aquesta regio va coneixer migracions de naturalesa diversa i de destinacions diferents. A mitjan i a la fi dels anys 80, va apareixer un flux migratori mes intens, orientat cap al que els estudiosos van anomenar els “nous destins”: alguns paisos de l’Africa central, d’Europa, d’America i d’Oceania. Aquest flux cap a “nous destins” va ser influenciat pels efectes desastrosos d’una serie de crisis economiques sense precedents. Aquesta fase va ser coneguda com l’explosio o la multipolaritzacio migratoria (Robin, 1966). El camp migratori africa s’estengue rapidament cap a Costa d’Ivori, l’Africa central (ambdos Congos), Angola i els paisos del golf de Guinea. De l’Africa, els nous candidats a l’emigracio n’intentaren “conquerir” allo que els analistes van anomenar “el nou mon migratori”. Els vells destins van ser gairebe abandonats en detriment d’altres. Els Estats Units, el Canada, el Japo, Taiwan, Australia, Tailandia, Alemanya, els paisos del golf Persic, Portugal, Italia, Grecia, Espanya... van irrompre, aixi, en el camp migratori dels africans.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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 it