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Record W4389954172 · doi:10.21810/sfuer.v15i1.6157

History Teaching In A Museological Space

2023· article· en· W4389954172 on OpenAlexvenueno aff
Yuri Leonardo Rosa Stelmach

Bibliographic record

VenueSFU Educational Review · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Pedagogy and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeExhibitionVisual artsPossession (linguistics)MediationReading (process)Space (punctuation)SociologyHistoryAestheticsArtLiteratureSocial sciencePolitical scienceLinguisticsLaw

Abstract

fetched live from OpenAlex

This paper aims to discuss issues concerning the teaching of History in museological spaces, based on the narrative of an experience at the Rio Grande do Sul Memorial, a place that generated the teaching-learning process of students who visited this space. We start from the narrative of the mediated educational action on the itinerant exhibition “Monuments and art: the history of the city at risk”, which exposed a series of monuments and public statues taken from the streets of Porto Alegre. By means of these pieces, the mediation sought to reflect on the silenced stories behind those sculptures, aiming to perceive other actors and groups silenced by the patrimonialization process. From a theoretical point of view, it drew on Vygotsky (2010) and Bakhtin (1992), with regard to interactive mediation; Siman (2013), with regard to teaching History through reading the city; and Ramos (2016), on the concept of generator object. Finally, it is believed that the students took possession of plural historical narratives about the city, through the narratives exposed and silenced by the urban historical heritage.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.462
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.002

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 head0.204
GPT teacher head0.514
Teacher spread0.310 · 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; both teacher heads agree on what is shown here.

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
Published2023
Admission routes1
Has abstractyes

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