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Antecedentes históricos sobre el Complejo Forestal y Maderero Panguipulli, provincia de Valdivia, Centro-sur de Chile

2016· article· es· W2570722701 on OpenAlexaff
José Barrena, Maite Hernando-Arrese, Fernanda Rojas‐Marchini

Bibliographic record

VenueBosque (Valdivia) · 2016
Typearticle
Languagees
FieldEnvironmental Science
TopicEnvironmental and Cultural Studies in Latin America and Beyond
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

The aim was to inquire on the historical background of Panguipulli Forestry and Timber Complex, a forestry company that emerged in 1971 in the province of Valdivia, South-central Chile. The company managed an area larger than 400,000 hectares and employed over 3,000 workers, functioning under a co-management scheme supported by both workers and state. We carried out a literature review that included scientific articles, books, theses and reports. Additionally, in-depth interviews were conducted with two informants who were involved directly in the historical development of Panguipulli Forestry and Timber Complex. We inquired in both the underlying social processes and direct events that influenced the emergence of the forestry company. A long period of encroachment on indigenous land and the emergence of a rural working-class resulting from the activities of a novel forestry industry fall within the former. While, on the other hand, key political reforms, as well as the coordinated actions led by forestry workers, account for the latter. We argue that the rise of Panguipulli Forestry and Timber Complex is the result of a longstanding attempt by workers and indigenous people to subvert power relations and domination established from the European colonization of the mid-nineteenth century. The research provides relevant information that contributes to the fields of environmental history and local identity, which in turn offer key elements for a current discussion of forestry and rural development.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.083
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.009
GPT teacher head0.225
Teacher spread0.216 · 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 designObservational
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

Citations56
Published2016
Admission routes1
Has abstractyes

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