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Record W2726975306 · doi:10.5209/stra.60429

Culturas del trabajo e identidad local: pescadores y mineros en Québec

2018· article· es· W2726975306 on OpenAlexaboutno aff
Pablo Rodríguez‐Palenzuela

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2018
Typearticle
Languagees
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyPolitical scienceEconomic geography

Abstract

fetched live from OpenAlex

Introducción: trabajo, culturas del trabajo y territorioEl trabajo, actividad específicamente humana, es trabajo social.Constituye, en su función utilitaria, el vector mediante el cual se resuelve la contradicción entre hombre y naturaleza para conseguir la reproducción social 1 .Además, en su rol ideacional, construye el entramado de las relaciones sociales derivadas de la división social del trabajo y genera discursos legitimadores o impugnadores (una ideología del trabajo, según Anthony, 1977) que se incorporan a la cosmovisión de cada formación social.El trabajo es un universal social presente en todas las configuraciones sociales, actuales, pasadas y posibles: El trabajo es una condición de la existencia del hombre, independientemente de todas las formas de sociedad, una necesidad natural y eterna para mediar en el metabolismo entre el hombre y la naturaleza, esto es, en la vida humana (K.Marx, El Capital, Libro I, cap.1)Mediante el trabajo el hombre transforma el espacio en territorio, en espacio socializado, con intervenciones antrópicas que modifican su morfología, pero que también, y esto interesa en nuestro caso de estudio, le otorgan una función identitaria y simbólica, dialécticamente articulada a su papel como base material de la reproducción social 2 .

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)0.001
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 score0.028
Threshold uncertainty score0.204

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0100.004
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.001

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 head0.023
GPT teacher head0.262
Teacher spread0.239 · 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

Citations3
Published2018
Admission routes1
Has abstractyes

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