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PEDALAR NA COPA 2014 E NAS OLIMPÍADAS 2016 NO BRASIL?

2009· article· pt· W2016939090 on OpenAlex
Rodrigo Duarte Ferrari, Verónica Gabriela Silva Piovani

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMotrivivência · 2009
Typearticle
Languagept
FieldSocial Sciences
TopicPhysical Education and Sports Studies
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsPublic transportGeographyRegional sciencePolitical scienceTransport engineeringEngineering

Abstract

fetched live from OpenAlex

This paper is an approximation tothe projects of the FIFA World Cupin 2014 and 2016 Olympic Gamesto be held in Brazil. The intentionof the study is describing what isprovided in the projects of these twoevents in relation to urban mobility,as well as examinating these proposalsfrom the perspective of thepromotion and consolidation of thebicycle as a mobility alternative. Fordoing this the following topics arepresented: The Bicycle Brazil Project:Achievements and Challenges,which is a national public policyproposition of using the bicycle as amobility option; the Urban Mobilityproject of the World Cup host cities in 2014; and the Rio de Janeiro´ sUrban Mobility project for the 2016Olympics. Finally, after presentingthe three projects, they are articulatedwith emphasis on educationalopportunities and cultural formation,concluding that the bicycle as ameans of transport is almost ignoredin all dimensions as an alternative ofUrban Mobility in these events heldin Brazil.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.349
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.009

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 head0.026
GPT teacher head0.330
Teacher spread0.304 · 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