Bibliographic record
Abstract
This paper considers the social justice initiative of the Canadian Nurses Association (CNA). It focuses mainly on the two editions of the CNA's discussion document on social justice, and particularly on its emphasis on the principle of equity. The paper considers whether a coherent justification can be made for the CNA's espousal of equity, and the discussion focuses in turn on the principle of equity itself and on the CNA's position in relation to equity. A body of arguments supporting an active moral role for professions, generally known as civic professionalism, provides a framework for exploring the CNA's role in this respect. Justifications for equity are explored in relation to the liberal-contextualist spectrum, and civic professional arguments are subjected to the same structure of analysis. This is in turn related to evidence from the literature concerning nursing perceptions of equity. The paper concludes that contextualist justifications of equity and civic professionalism support one another more robustly than liberal justifications in relation to the CNA's initiative; and that they also sit more comfortably with the realities of the CNA's role in relation to nursing, and to the Canadian health care system.
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.
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 | 0.019 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.028 | 0.071 |
| Scholarly communication | 0.014 | 0.006 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.011 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".