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Record W2586671091

Privatization and state transportation services : a qualitative study

2000· article· en· W2586671091 on OpenAlexaboutno aff
Marie. Nopper

Bibliographic record

VenueMontana State University ScholarWorks (Montana State University) · 2000
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTransport and Economic Policies
Canadian institutionsnot available
Fundersnot available
KeywordsQualitative researchState (computer science)BusinessComputer scienceSociologySocial science
DOInot available

Abstract

fetched live from OpenAlex

The major purpose of this paper was to interview and report the attitudes of individuals who are currently involved with highway transportation in the State of Montana regarding privatization of certain Montana Department of Transportation duties or services. The in-depth interviews explored the topic of privatization and individual opinions on the reliance on private enterprise, market forces and competition for providing public services. Personal interviews were conducted with thirteen carefully selected individuals. At the time of the interviews, each individual was involved in one of four areas of highway transportation; one, private sector engineering or consultant design, including consulting, road design, bridge design or traffic design. Two, current or past employees of the Montana Department of Transportation in the areas administration, maintenance or engineering. Three, general contractor representation; and four, relevant transportation experience through a higher education institute. Preparation for the interviews was based upon a substantial review of literature, including privatization plans from the Commonwealth's of Virginia and Massachusetts, as well as the states of Idaho, Washington, Oregon and Iowa. Privatization plans written by the Montana Contractors' Association, the Providence of Alberta, Canada, the City of Great Falls, Montana, and private organizations such as the Reason Foundation were also reviewed. In addition, related materials from the Providence of British Columbia, Canada, the U.S. Department of Transportation, the U.S. Department of Labor, the State of Kansas and numerous reports from private consulting firms were reviewed. The main conclusions of these interviews are: (I) There is no one specific definition of the term privatization. (2) There is no clear indication financial savings would occur if the overall mix changed. (3) There would be no savings from any change in the public and private sector mix with regard to buildings, equipment or land. Moving personnel or labor more toward private sector may be a short-term cost saving, but long-term savings are unclear. (4) MDT should be responsible for determining the increase, decrease or maintaining the level of privatization. (5) There is significant room for improvement in oversight of some of the privatization areas. (6) There is a great deal of confusion over how MDT evaluates the success or failure of privatization or private sector performed services or projects. (7) There is a high level of satisfaction with the current mix of private and public sector work with regard to privatization. The recommendations based upon this study are: (1) Maintain the current mix of contracting out or outsourcing for the areas of construction and maintenance. MDT should investigate increasing the amount of outsourcing and re-direct MDT design as project review and oversight for possible improved performance in the area of consultant design. (2) Additional educational and training opportunities should be investigated. (3) MDT should determine levels of privatization without being encumbered by political forces, either internal or external. (4) MDT needs clearer and more communication, both internally and externally, describing the processes of oversight of projects.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.006
Open science0.0010.000
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 head0.009
GPT teacher head0.185
Teacher spread0.176 · 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.

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

Citations0
Published2000
Admission routes1
Has abstractyes

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