Canadian Life Care Planning and Cost Projection Analysis
Bibliographic record
Abstract
A life care plan is a dynamic document that outlines the lifelong needs of an individual following a catastrophic injury or chronic illness. Life care plans are designed to reduce disability, promote participation in productive activity, and ensure best use of available funding and other resources needed for optimal quality of life following an injury or illness. Basic tenets underlying the life care planning process in Canada include objectivity, evidence-informed practice, credibility, comprehensiveness, balance, ethical behaviour, and person-centredness. While development of a life care plan usually follows a sequential order, work may occur concurrently on several steps in a process that involves referral, consent, file review, assessment, review of research literature, formulation of recommendations, and evaluation. Life care planners may be asked to critique the report of another planner to understand weaknesses in the reviewed life care plan. Areas of examination for the critique include the file review, plan structure and accuracy, evaluation methods, theory or foundation, and costing. Additionally, life care planners may be called upon to serve as expert witnesses in a Canadian court. When providing testimony, the objective is to assist the court in deciding the facts by providing information that is pertinent and relevant to the case without being an advocate for one side or the other. In this way life care plans are useful for the affected individuals and their caregivers, as well as for the courts to ensure required services and products are available as needed over time and throughout the life span.
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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.013 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.002 |
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".