Cambios en el bienestar y la distribución del ingreso. Argentina urbana (EPH-INDEC): 2° T 2023 - 1° T 2024 – 2° T 2024
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
Los resultados que se presentan en este informe no forman parte de la Encuesta de la Deuda Social Argentina, sino que se desprenden del informe sobre la Evolución de la Distribución del Ingreso del INDEC, elaborado a partir de la Encuesta Permanente de Hogares (EPH) para 31 aglomerados urbanos, y correspondiente al segundo trimestre de 2024. A los fines de examinar con mayor detalle los cambios socio-económicos ocurridos durante el último año, se realiza un análisis del último informe correspondiente al segundo trimestre de 2024, en comparación con los datos del segundo trimestre de 2023 (en un primer apartado, de comparación interanual) y del primer trimestre de 2024 (en un segundo apartado, de comparación intertrimestral). El objetivo del informe es objetivos de este informe registrar, sistematizar, aportar algún valor agregado y exponer resultados estadísticos –en este caso surgidos a través de las estimaciones en base a fuentes oficiales- capaces de contribuir a visibilizar y evaluar nuevas y viejas deudas sociales...
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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.122 | 0.012 |
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