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Record W7001611734

La pobreza en Ecuador a trav?s del ?ndice P de Amartya Sen

2014· dissertation· es· W7001611734 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2014
Typedissertation
Languagees
FieldSocial Sciences
TopicSocial Issues and Policies in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsPovertyInequalityPerspective (graphical)Quarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

La presente investigaci?n realiza un an?lisis de la pobreza en Ecuador en el periodo 2006-2012 a nivel nacional y provincial, a partir de la aplicaci?n del ?ndice de la Pobreza (P) propuesto por Amartya Sen (1976), ya que dicho ?ndice permite evaluar las condiciones de pobreza al integrar la tasa de incidencia de la pobreza, la brecha de ingresos de los pobres y el coeficiente de Gini de los pobres en un ?ndice compuesto que entrega informaci?n de la profundidad de la pobreza y la desigualdad de ingresos entre los pobres. Los principales resultados que aporta la investigaci?n son que en el a?o 2012 a nivel nacional la pobreza fue menos profunda que en el a?o 2006, sin embargo la desigualdad entre los pobres aument? ligeramente; y a nivel provincial en quince provincias se evidenci? mejoras en sus condiciones de pobreza, mientras que seis agravaron esta condici?n. As? mismo se evidencia que ser hombre o mujer no es una condicionante para ser pobre. Paralelo a esto se evidencia que el ?rea y la regi?n donde se viva, la etnia, el nivel de instrucci?n, la condici?n de actividad y el tama?o de los hogares se relacionan directamente con la probabilidad de ser pobre. Finalmente se evidencia que disminuir las tasas de subempleo en el pa?s mejora las condiciones de pobreza.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.960
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0030.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.293
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it