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Record W4240301027 · doi:10.1017/s0008423907070989

Brazilian Politics

2007· article· en· W4240301027 on OpenAlexaff
Mary Louise McAllister

Bibliographic record

VenueCanadian Journal of Political Science · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Political Issues
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPolityPoliticsAuthoritarianismPolitical scienceSophisticationPopulationState (computer science)ChinaPolitical economyHumanitiesEconomic historySociologyDemocracySocial scienceLawHistoryArt

Abstract

fetched live from OpenAlex

Brazilian Politics , Alfred P. Montero, Cambridge: Polity Press, 2005, pp. 167. Brazil is a country of contrasts. This is one of the first, and most ubiquitous, phrases that one encounters with respect to this intriguing country. Visitors to Brazil soon echo this sentiment as they note its cultural sophistication in the arts, technological expertise in a number of industries, its vast, diverse territory, as well as its extreme economic and social disparity. It is the ninth-largest economy in the world, yet it is also one of the most inequitable; the top 1 per cent of the population retains 40 per cent of the country's wealth (5). It is fitting then that this reality provides the integrative theme in Alfred Montero's primer on Brazilian politics. The topic is first introduced with an effective depiction of Brazilian president “Lula” da Silva as he struggles to bridge competing social and economic imperatives when he attends the World Social Forum held at Porto Alegre, Brazil, and the World Economic Forum at Davos, Switzerland. The text concludes with an observation that the president's adoption of a pragmatic agenda in order to secure economic growth through global markets will not adequately satisfy the desperate and immediate need for social reform where millions suffer and comparatively few prosper. Montero asserts that the root of this misery can be traced to the state's historic pattern of clientelistic politics, oligarchical rule and bureaucratic-authoritarianism (25).

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 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)0.004
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.686
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.006
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.367
Teacher spread0.339 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

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