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Record W606300008

THE SERVICE REFUND GUARANTEE: A FURTHER BOOST TO THE QUALITY PROCEDURE

2002· article· en· W606300008 on OpenAlexaboutno aff
Pierre Giard

Bibliographic record

VenuePublic transport international · 2002
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicQuality and Supply Management
Canadian institutionsnot available
Fundersnot available
KeywordsPunctualityComplaintQuality (philosophy)Public transportScheduleService (business)Service qualityComputer scienceQuality of serviceBusinessEvent (particle physics)Passenger informationTransport engineeringOperations managementOperations researchMarketingTelecommunicationsEngineering
DOInot available

Abstract

fetched live from OpenAlex

Societe de Transport de Laval (STL) surprised its users in June 2001 by becoming the first Canadian public transport company to guarantee the quality of its services. The company that has 650 employees and 220 buses, formally entitled its 60,000 daily passengers to claim a refund in the event of any of the following: bus service more than 7 minutes behind schedule; impolite driver behavior; unclean interior of transport vehicle; incorrect information; and if STL takes more than five days to respond to a request or a complaint. The three reasons to make this commitment to service quality were given as follows: a last chance for quality; a way to accelerate quality procedures; and a tool designed to make service quality noticeable. STL is expected to release the results achieved in terms of punctuality since the introduction of the Quality Guarantee.

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)0.051
metaresearch head score (Gemma)0.107
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.182
Threshold uncertainty score0.362

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0510.107
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.003
Science and technology studies0.0050.009
Scholarly communication0.0130.009
Open science0.0040.008
Research integrity0.0110.011
Insufficient payload (model declined to judge)0.0180.005

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 head0.054
GPT teacher head0.268
Teacher spread0.214 · 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 designNot applicable
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
Published2002
Admission routes1
Has abstractyes

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