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Record W4417351869 · doi:10.65625/xwz4ty51

De volta à vitrine: o Rio de Janeiro e a retomada dos grandes eventos pós-pandemia Covid19

2024· article· W4417351869 on OpenAlexaboutno aff
Maria Helena Carmo, Flávio Lins

Bibliographic record

VenueRevista do Arquivo Geral da Cidade do Rio de Janeiro · 2024
Typearticle
Language
FieldSocial Sciences
TopicPhysical Education and Sports Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)The ImaginaryPandemicCoronavirus disease 2019 (COVID-19)Event (particle physics)Narrative

Abstract

fetched live from OpenAlex

The imaginary of Rio de Janeiro was consolidated, throughout the 20th century, into a city associated with beaches, joy and two major events: Carnival and New Year's Eve. And, in the first quarter of the 21st century, the city has hosted several events with great international coverage, such as Rio+20, the World Cup and the Olympic Games. We are interested in understanding how this narrative of a city ‘ready’ to host events has been constructed through historical research, bibliographic review and documentary analysis. We also highlight the Covid-19 pandemic period and the prohibition of gatherings, impacting the event indutry, a major fator in the economy of Rio de Janeiro. However, due to the Covid19 vaccine, cities gradually returned to their routine. In June 2023, the end of the pandemic was declared and, although many initiatives did not survive the restrictions of that period, in Rio, major events have already exceeded pre-pandemic numbers.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.050
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.006
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.021
GPT teacher head0.342
Teacher spread0.321 · 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 designObservational
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
Published2024
Admission routes1
Has abstractyes

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