Bibliographic record
Abstract
The complexity of the health care environment necessitates that health policy, legislative objectives, resource allocation models, and management structures be aligned to plan and deliver healthcare services strategically. Policy in the Irish health care system is guided by the National Health Strategy of 2001; in that there should be equitable distribution of health services focused on the need of the citizen-client. Though the Strategy uses the words ‘evidence based’, ‘population health’, ‘equity’, ‘people-centred’ and ‘health and social gain’, there is little evidence that these concepts have gained purchase in the present implementation of policy and planning in Irish health care (Byers 2009). Health policy in the last five years, in terms of the statements made and the actions taken by the Minister for Health and Children, runs counter to the national strategy; in terms of advocating increased provision of private health care facilities in the acute care sector and their subsidisation by the state as well as through the increased centralisation of health care structures with reduced transparency.\nThis paper reports on a study of policy and planning in the health care sector. It considers the ambiguity of a health care strategy crafted to underpin such planning in service delivery and espousing the principles of ‘people centredness’ and ‘equity’, and policy implementation on the ground. The paper also draws on the Canadian experience as a comparator, where the pursuit of citizen-centred policy, has stimulated innovative approaches to the organizational design of governments’ service delivery systems (Flumian, Coe & Kernaghan 2007).
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 | 0.052 | 0.169 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.015 | 0.011 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.012 | 0.012 |
| Insufficient payload (model declined to judge) | 0.071 | 0.008 |
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".