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
Whistleblowing has only been utilized in the fight against corruption effectively the past couple of decades. Today, while many public sector employees enjoy sweeping legislative protections, a significant portion of the 12 million Canadians working in the private sector remain inadequately protected. This paper will explore the shortcomings associated with the present Canadian system and examine how our whistleblower protections can be strengthened by incorporating world leading measures from countries like the U.S., U.K., Japan, as well as others. A case for the enactment of uniform legislation aimed at protecting all whistleblowers in Canada will ultimately be made. Even though the beneficial consequences of such an act will be multifaceted and profound, chiefly because it will put an end to the unequal rights public and private sector workers are afforded, the scope of this essay will be largely limited to exploring how expanding whistleblowing protections will allow Canada to better fulfill its international anti-corruption obligations under the Corruption of Foreign Public Officials Act.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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