Bibliographic record
Abstract
A s an organization, Correctional Service Canada (CSC) not only fails to correct but, in many cases, actively makes it extremely diffi cult for correction to occur.Like any large organization, CSC has cultures and sub-cultures that have develop organically when human beings gather and particularly when individuals with common purpose begin working together.The 'Blue Wall' correctional culture dominates all others, because it runs in the veins of this hierarchical bureaucratic organization.The 'Blue Wall' culture has no start and no end -it is endemic and it is in-bred.From personal experience, observations, and what I have read in watchdog reports, as well as recent published books, it is apparent that CSC's 'Blue Wall' culture is at the heart of everything that is wrong.The 'Blue Wall' culture is the lowest common denominator reason as to why CSC is failing to meet its obligations to federally sentenced prisoners, including its obligations to uphold their human rights.This is not just my opinion, but also the expert opinion of a retired CSC Deputy Warden with 30 years experience in the trenches.He asserts, "the culture is largely responsible for most of the problems that occur within our prisons!"(Clark, 2017, p. 16).There exists "a culture of collective indiff erence towards both the prisoners and CSC's stated higher goals" (ibid).'Goals' is in reference to Correctional and Conditional Release Act (CCRA) sections 3(a) and 3(b) mandate, and nothing is going to change until there is a seismic organization shift at the top. One only has to read the February 2019 Interim Report -Study on the Human Rights of Federally Sentence Persons by the Standing Senate Committee onHuman Rights to understand the depth and scope of the challenges faced by prisoners because CSC is failing to meet its obligations to them.Everything indicates that CSC has been an abject failure to perform their CCRA section 3(a) "safe and humane custody" and section 3(b) "rehabilitation of off enders ... through the provision of programs" objectives.The following are just some of the issues identifi ed by that Senate Committee on Human Rights Interim Report: inadequate access to health care; inadequate health and dental care; insuffi cient admission to gradual and structured release; defi cient correctional programs, the one-size-fi ts-all programs are inadequate; poor conditions of confi nement; poor access to remedial measures; substandard quantity and quality of food; CSC policies often discriminate against Indigeneity, race, gender, disability, mental health,
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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 | 0.023 | 0.061 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.026 | 0.028 |
| Scholarly communication | 0.040 | 0.023 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.007 | 0.014 |
| Insufficient payload (model declined to judge) | 0.013 | 0.005 |
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".