Receiving physical assistance as a dependent older person – the meanings of experience
Bibliographic record
Abstract
of health care This is the abstract book for the first Global Conference on Person-Centred Care (GCPCC), taking place in Gothenburg, Sweden, from 13 th -16 th May, 2024.The conference has been organized by the University of Gothenburg's Centre for Person-Centred Care (GPCC), which has been conducting research and supporting knowledge utilisation on person-centred care as a strategic government-funded research area since the centre was inaugurated in 2010.Within the conference theme, Knowledge(s) and Innovation for Health in Changing Societies, this book presents all abstract contributions presented by invited expert keynote speakers, workshops, panels/symposia as well as oral and poster presentations.Together, the book presents almost 250 abstracts.The theme reflects the relevance of various types of knowledge to further person-centred care and contributions include empirical, theoretical, literature reviews, practice-based examples, as well as art, performance and media.In this way the GCPCC signals the importance of reaching out to and fostering collaborations and partnerships globally among the various actors in the field of person-centred care.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".