Best practice guidelines for voluntary , not for profit organisations & private service providers
Bibliographic record
Abstract
Both the voluntary and private sectors are extensive service providers in Ireland across the spectrum of health and social services, including services for older people. While the HSE is the main statutory provider of such services, the key objective in terms of elder abuse for all service providers is the adoption of a “whole service” approach to the prevention, protection and management of elder abuse. In this regard best practice guidelines are a prerequisite to achieving this objective and provide a basis for service providers to develop proper standards in the area of elder abuse. The following guidelines are an aid for you and your organisation to developing standards and policies in the area of elder abuse.
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 | 0.096 | 0.245 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.008 | 0.011 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.011 | 0.007 |
| Research integrity | 0.021 | 0.016 |
| Insufficient payload (model declined to judge) | 0.027 | 0.026 |
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".