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Record W2966413530 · doi:10.20396/rap.v13i1.8654795

Descobrindo e recobrindo o passado nas salas de aula com assassin’s creed origins discovery tour

2019· article· pt· W2966413530 on OpenAlexaboutno aff
Rodrigo Araújo de Lima, Nelson de Paiva Bondioli

Bibliographic record

VenueRevista Arqueologia Pública · 2019
Typearticle
Languagept
FieldSocial Sciences
TopicEducation and Digital Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsCreedHumanitiesArtPhilosophyTheology

Abstract

fetched live from OpenAlex

O presente artigo propõe uma análise a respeito do modo Discovery Tour, desenvolvido pela Ubisoft Montreal para o jogo Assassin’s Creed Origins. O Discovery Touré proposto pelos desenvolvedores como uma ferramenta “puramente educacional”, entendida como um “Museu Virtual” auxiliando alunos na compreensão do passado por meiodetoursguiados e a exploração de sítios históricos. Problematiza-se neste estudo a censura realizada às estátuas do mundo Greco-Romano, uma vez que essas aparecem neste –e somente neste –modo de jogo com seios e genitálias cobertas por conchas, levantando-se questões acerca do ensino e o olhar sexualizado sobre o passado.

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)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0140.009
Scholarly communication0.0060.004
Open science0.0010.008
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0300.003

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 head0.042
GPT teacher head0.325
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 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

Citations5
Published2019
Admission routes1
Has abstractyes

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