MétaCan
Menu
Back to cohort

Elementos clave para la introducción de la perspectiva de género en las infraestructuras ciclistas

2020· article· en· W3096630887 on OpenAlex
Anna Obach Lapieza, María Ramos Sanz

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

VenueHábitat y Sociedad · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLatin American Urban Studies
Canadian institutionsWSP (Canada)
Fundersnot available
KeywordsPromotion (chess)EmpowermentPsychological interventionAuditDiversity (politics)Political scienceWelfare economicsGeographySociologyBusinessPsychology

Abstract

fetched live from OpenAlex

Gender mainstreaming generated a wide diversity of innovative measures and interventions in new areas not explored until the moment. This is the case of mobility policies, linked to the sustainable urban design and the measures for the environment’s improvement. The literature review and the analysis of the cities’ experiences, allow us to establish some criteria to audit the level of inclusivity of transport infrastructures. In the case of cycling infrastructures, the following criteria have to be taken into account: security, ensuring road safety elements and adequate lighting; conciliation, connecting areas of the city linked to child care, elderly care, daily shopping and personal dealings, through Geographic Information System (GIS) analysis; apply an inclusive and participatory approach, from the comprehension that there is a diverse citizenship with multiple needs and that these have to be taken into account during the design of these policies; and the visibility of cyclist women, as a tool of empowerment and promotion of the use of the bicycle..

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.366
Threshold uncertainty score0.902

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.352
Teacher spread0.335 · 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