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Honduras

2020· book-chapter· en· W4239537112 on OpenAlexaff
Darío A. Euraque

Bibliographic record

VenueOxford University Press eBooks · 2020
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsTrinity College
Fundersnot available
KeywordsEliteHegemonyMonopolyPoliticsPolitical scienceState (computer science)PopulationCohesion (chemistry)Political economyDevelopment economicsSociologyLawEconomicsMarket economy

Abstract

fetched live from OpenAlex

Abstract A fact of Honduran history after the 1840s is the structural weakness of the state as an organized political agent capable of administering a nationally defined territory, managing its constitutionally prescribed monopoly over security, and effectively addressing the most minimal aspects of the population’s economic and social welfare. Various factors explain this. A key problem has been Honduran elites’ lack of cohesion and enlightened commitment to their long-term interests among themselves and beyond their borders. Resorting to lethal violence to secure advantaged and corrupt access to state resources has been the result and norm, even to the detriment of elite unity and hegemony. This has often placed the state and country at the mercy of economic and military forces, local and international, that elites cannot control, and with which they have negotiated for short-term benefit and even personal survival, most often to the detriment of national interests, and Hondurans’ rudimentary well-being.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.062
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0620.013

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 head0.041
GPT teacher head0.185
Teacher spread0.144 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2020
Admission routes1
Has abstractyes

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