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Record W2244015195

Evolution of Highway Maintenance Outsourcing in Alberta, Canada

2006· article· en· W2244015195 on OpenAlexaboutno aff
Nick Bucyk, Moh Lali

Bibliographic record

VenueTransportation Research E-Circular · 2006
Typearticle
Languageen
FieldEngineering
TopicUrban and Freight Transport Logistics
Canadian institutionsnot available
Fundersnot available
KeywordsOutsourcingProcurementBiddingBusinessWork (physics)Service (business)Operations managementBusiness process reengineeringMarketingEngineering
DOInot available

Abstract

fetched live from OpenAlex

In 1995, Alberta Transportation and Utilities took its first steps of many to outsource the highway maintenance work. This work covered all summer and winter maintenance of the provincial highway network. The department overcame many challenges as it changed its role from delivering the service to managing the delivery of the service by private sector. From day one, the industry and the department began to work together on forming a relationship of understanding from each other's point of view. This relationship was referred to as partnering and it would prove to be beneficial for day to day operations and in the future contracts. Following the outsourcing and prior to the next round of tendering, the department along with the industry conducted a major reengineering of the existing maintenance process. The group undertook a thorough review of all the maintenance specifications and contract requirements in an effort to identify the risk and allocate it where it could be best managed. During this period the department also sold its maintenance shops and increased its responsibility by assuming approximately 15,000 km of secondary highways from local municipalities. All of these changes were incorporated into the contracts prior to the second round of retendering. As a result of these changes there were significant savings. The department is now about to embark on its third round of retendering. Maintaining a level playing field for all contractors, creating a competitive bidding atmosphere, dealing with increased public expectation and issues on environment and insurance are just a few of the items that were reviewed in this round.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.629
Threshold uncertainty score0.571

Codex and Gemma teacher scores by category

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

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 head0.226
Teacher spread0.204 · 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 teacher head, 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

Citations1
Published2006
Admission routes1
Has abstractyes

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