MétaCan
Menu
Back to cohort
Record W1975035461 · doi:10.1080/13563475.2014.942506

Teleworking as a Mobility Strategy for Mexico City

2014· article· en· W1975035461 on OpenAlexfundno aff
Boris Graizbord

Bibliographic record

VenueInternational Planning Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsMetropolitan areaWork (physics)Modal shiftService (business)BusinessPublic transportRegional scienceEnvironmental planningEconomic growthGeographyTransport engineeringMarketingEconomicsEngineering

Abstract

fetched live from OpenAlex

Urban spatial mobility and its environmental impact have been attracting attention in academic circles, but have not yet fully permeated the urban public policy agenda. Proposals to reduce commuting (journeys to work) recommended in the relevant literature include controlling land use to cut the distance between home and the workplace, inducing modal shift, promoting concentration of service activities, time distributing work schedules, and teleworking (TW). The purpose of this article is to report some findings regarding the implementation of TW based on a survey of corporate employees that enter this work modality in the Mexico City Metropolitan Area. We provide insights as to the potential impact the adoption of TW might have on the city's commuting pattern, use of energy, and environmental pollution.

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)0.000
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.123
GPT teacher head0.439
Teacher spread0.316 · 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

Citations18
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueInternational Planning StudiesSame topicUrban Transport and AccessibilityFrench-language works237,207