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Record W198597976

Interdependecia socioeconómica y desarrollo en las sociedades cacicales. El caso del valle del río Parita, Región Central de Panamá

2013· article· es· W198597976 on OpenAlexaff
Michael J. Haller

Bibliographic record

VenueCanto Rodado: Revista especializada en patrimonio · 2013
Typearticle
Languagees
FieldSocial Sciences
TopicRegional Development and Innovation
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

La aparicion y el desarrollo de la desigualdad social en el mundo ha sido un tema central en la literatura antropologica, ya que aborda un cambio fundamental en la historia de la humanidad. Utilizando la misma linea de investigacion, examinamos el cambio social en el valle del rio Parita y como ciertas actividades socioeconomicas influyeron en la aparicion de una jerarquia social en dicho valle. En concreto, se analiza la relacion entre los episodios de cambio social y los siguientes factores: la organizacion sociopolitica, la especializacion artesanal e interdependencia economica, y el control y la movilizacion de recursos de subsistencia. Los resultados de este proyecto sugieren que la existencia de cacicazgos con grandes disparidades en la riqueza y el poder, como fue detallado por los cronistas en el siglo dieciseis en Panama, no era exactamente el caso del valle del rio Parita. Por otro lado, encontramos mas autonomia socioeconomica de la que se pensaba. La desigualdad social existio, claramente, pero el estatus de las elites no se baso particularmente en el control de la economia local, sino que se baso en la politica y la manipulacion de las relaciones socioeconomicas. De hecho, no se debe asumir la existencia de un poder de elite como tal, sino que las relaciones sociales se entienden mejor como una constante negociacion entre los diferentes grupos sociales del valle

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.150

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.015
GPT teacher head0.292
Teacher spread0.277 · 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 designQualitative
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
Published2013
Admission routes1
Has abstractyes

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