NTA Mystery Passenger Survey : Direct Award : 2024 : Quarter 1
Bibliographic record
Abstract
This research programme monitors service, quality and compliance with contractual Bus Éireann requirements through “mystery shopping‟ surveys, to measure key aspects of service delivery. This mystery shopping programme was designed to provide robust and actionable data to the National Transport Authority to measure the overall service performance through the eyes of ‘customers’. 392 mystery shops were conducted during Quarter 1 with mystery shoppers acting as passengers while waiting for and on-board selected Bus Éireann routes. A broad spread of bus routes were covered across different days of the week and times of the day. Bus station assessments were also completed in Quarter 1 and the data for these assessments are included in this report. The mystery shops were carried out by trained Ipsos assessors. These assessors use mobile devices, which enable both discreet and effective captures of location, bus and driver details at stops, when boarding, on board and after alighting buses. 2024 Quarter 1 took place between 1st Jan to 24th March 2024.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.045 | 0.025 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".