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Record W2793130625 · doi:10.4000/iss.621

Constitución y consolidación de la Museología como campo disciplinario: reflejos de la legitimación de un campo específico

2015· article· es· W2793130625 on OpenAlexaff
Luciana Menezes de Carvalho, Tereza Cristina Moletta Scheiner

Bibliographic record

VenueICOFOM Study Series · 2015
Typearticle
Languagees
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsFord Motor Company (Canada)
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

La idea central del presente trabajo es disertar sobre la Museología como una reivindicación de profesionales de museos por una especificidad de conocimiento y de objeto, consecuencia de un proceso científico y disciplinario. Presenta la Museología como campo del conocimiento que ha buscado su delimitación desde la segunda mitad del siglo XX. La investigación desarrollada en este trabajo, de orientación teórico-documental, tiene como objetivos: 1) disertar sobre las contribuciones de Bourdieu para la comprensión de campo – de carácter científico; y 2) identificar las distintas corrientes que buscan una definición reconocida y legitimada de la Museología, a nivel mundial. Las consideraciones indican una perspectiva donde el conjunto de distintas corrientes y nociones observables (sobre un objeto de estudio específico) es de suma importancia para la consolidación de la Museología como campo científico; esas corrientes y nociones, a su vez, se introducen en este campo y buscan un lugar dentro de sus límites.

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)0.008
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0120.049
Scholarly communication0.0190.009
Open science0.0020.016
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0090.001

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 head0.025
GPT teacher head0.309
Teacher spread0.284 · 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 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

Citations1
Published2015
Admission routes1
Has abstractyes

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