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Record W4390761488 · doi:10.21747/21836671/pag20a17

Cultura digital e hibridização nos espaços de leitura na contemporaneidade

2023· article· en· W4390761488 on OpenAlexaff
Olira Saraiva Rodrigues

Bibliographic record

VenuePáginas a&b Arquivos & Bibliotecas · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Digital Technologies
Canadian institutionsGovernment of Northwest Territories
Fundersnot available
KeywordsRealmScope (computer science)Sociocultural evolutionSociologyReading (process)Relation (database)LiteracyEpistemologyPolitical sciencePedagogyComputer scienceAnthropology

Abstract

fetched live from OpenAlex

This article presents the intentionto explore the metamorphoses that permeate the realm of contemporary culture in relation to reading spaces. Through this research, the aim is to discuss digital culture, examining the impact of the incorporation of technological devices that resonate within sociocultural contexts. To achieve this goal, the research discussesinterconnection and hybridization, which propose a broader understanding of ongoing transformations. The methodological approach adopted in this study is qualitative and exploratory innature, relying on bibliographic research for its procedures. From this ground, a broader comprehension emerges, as contemporary digital epistemologies foster technological integration into society, engendering renewed perspectives on literacy. This technological incursion intervenes in established modes of reading and creates a conducive scenario for formulating new outlooks, triggering the reconfiguration of processes, methods, functions, and the scope of spaces designated for reading.

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)0.003
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.991
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0060.012
Scholarly communication0.0090.006
Open science0.0010.006
Research integrity0.0010.002
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 head0.058
GPT teacher head0.362
Teacher spread0.303 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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