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Record W6977004931 · doi:10.6068/dp14baeeb59e941

Trend 1988 - 2014. Bureau of Transportation Statistics. Arrivals (Airline Performance): Arrivals - 15 Minute or more delay | Country: USA | State: Virgin Islands, 1988-2014. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 007-001-004.

2015· other· en· W6977004931 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueData Planet · 2015
Typeother
Languageen
FieldSocial Sciences
TopicEducation Methods and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsNonStopAviationGround transportationCONQUESTArrival timeAir traffic controlTransit (satellite)Quarter (Canadian coin)Statistical analysis

Abstract

fetched live from OpenAlex

Bureau of Transportation Statistics (2015). Arrivals (Airline Performance): Arrivals - 15 Minute or more delay | Country: USA | State: Virgin Islands, 1988-2014. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 007-001-004. Dataset: A flight arriving 15 minutes or more after the scheduled time. Airline on-time data are reported each month to the United States Department of Transportation (DOT), Bureau of Transportation Statistics (BTS) by US air carriers that have at least 1 percent of total domestic scheduled-service passenger revenues, plus additional carriers that report voluntarily. The data cover nonstop scheduled-service flights between points within the US as described in 14 CFR Part 234 of DOT's regulations. This dataset contains on-time arrival performance data. Gate arrival time is the instance when the pilot sets the aircraft parking brake after arriving at the airport gate or passenger unloading area. Data are reported for the nation, by state, and by airport and airline. Airline mergers result in various reporting changes over the period. Joint reporting begins after Federal Aviation Administration approval of a single operating certificate. (1) January 2006: US Airways (US) and America West (HP) start to report jointly as US Airways (US). (2) January 2010: Delta (DL) and Northwest (NW) start to report jointly as Delta (DL). (3) January 2012: United (UA) and Continental (CO) start to report jointly as United (UA). (4) January 2012: Atlantic Southeast (EV) and ExpressJet (XE) start to report jointly as ExpressJet (EV), presented here as ExpressJet Combined (E*). For data through December 31, 2011, use the code EV for Atlantic Southeast and the code XE for ExpressJet. Beginning with January 1, 2012 data, use the code E* for ExpressJet Combined. Category: Transportation and Traffic, Industry, Business, and Commerce Source: Bureau of Transportation Statistics The Bureau of Transportation Statistics (BTS) was established as a statistical agency in 1992. The Intermodal Surface Transportation Efficiency Act (ISTEA) of 1991 created BTS to administer data collection, analysis, and reporting and to ensure the most cost-effective use of transportation-monitoring resources. BTS brings a greater degree of coordination, comparability, and quality standards to transportation data, and facilitates in the closing of important data gaps. http://www.bts.gov/ Subject: Air Transportation, Airline Industry, Business Travel, LeisureTravel, Airlines, Airline Operations, Passenger AirTransportation, Airports, Flight Arrivals

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.227
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0030.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.001

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 head0.073
GPT teacher head0.372
Teacher spread0.300 · 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