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
The Liquor Control Board of Ontario (LCBO) has undergone a remarkable transformation over the last twenty years. Once a decrepit and inefficient retailer, it is now regarded as a leader in its field. It provides a high level of consumer value to Ontario’s citizens and, most interestingly, has sought to reshape their preferences with regards to consuming and purchasing alcoholic products. Such a dramatic institutional shift was the result of externally imposed expectations, as well as internally generated institutional variables. The political power of other retailers and alcohol suppliers in Ontario’s oligopolistic liquor retail market, certain fundamental organizational changes that occurred to the LCBO, as well as more ephemeral variables such as Ontario’s conservative culture, and long history of government intervention in its economy and the agricultural sector, help to explain the actions of Mike Harris’ Conservative government with respect to this institution. Such an interesting policy outcome in the Ontario liquor market complicates arguments made by some that government enterprises are unable to provide high value services to citizens, as well as the arguments of those who see privatization of public assets as a key characteristic of neoliberal-type reforms.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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