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Record W1513398271 · doi:10.1787/5kg9mq3xcrxx-en

Air Transport Services in Remote Regions

2011· paratext· en· W1513398271 on OpenAlexaboutno aff

Bibliographic record

VenueDiscussion papers · 2011
Typeparatext
Languageen
FieldEconomics, Econometrics and Finance
TopicAviation Industry Analysis and Trends
Canadian institutionsnot available
Fundersnot available
KeywordsSubsidyAllocative efficiencyBusinessService (business)Air transportTransport engineeringPublic transportEnvironmental planningGeographyEngineeringMarketingEconomics

Abstract

fetched live from OpenAlex

The need for public support. The existing programs for public support have been made with reference to the need for essential air transport services for providing local communities with lifeline transport services. However, the criteria for giving public support (via the programs in USA, Canada and Europe) allows for quite wide interpretation of the terms “remote regions” and “lifeline services”. In some places, subsidies are given to routes with quite heavy traffic where the potential for ordinary commercial services could have been offered. In other subsidy programs, air services’ role as lifeline transport can be questioned because there are modes of surface transport that probably can serve these lifeline needs. A clearer set of criteria for “remoteness” and “lifeline services” could perhaps be developed. The allocative efficiency of the services should be focused, i.e. that the level of service are aligned with market needs and regional policy objectives. There should also be a coordinated approach to the funding of services to remote regions across relevant transport modes.

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)0.001
metaresearch head score (Gemma)0.002
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.080
Threshold uncertainty score0.267

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0800.014

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 head0.030
GPT teacher head0.235
Teacher spread0.205 · 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
GenreOther

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

Citations20
Published2011
Admission routes1
Has abstractyes

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