Dataset and replication information for It's About Time: How to Study Intertemporal Choice in Systems Design
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.
Bibliographic record
Abstract
Dataset and replication package for the paper <em>It's About Time: How to Study Intertemporal Choice in Systems Design</em> (Fagerholm, F., De los Ríos, A., Cárdenas Castro, C., Gil, J., Chatzigeorgiou, A., Ampatzoglou, A., Becker, C. (2023). It’s About Time: How To Study Intertemporal Choice in Systems Design. Information and Software Technology.). The dataset consists of answers to a scenario-based questionnaire that collects data on intertemporal choice in the context of software development. An analysis script is provided to show the details of the calculations and analyses performed for the paper. The replication package includes the protocol for data collection sessions and different versions of the task scenario and questionnaire. More information is given in the description file.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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 it