New horizons in holistic, person-centred health promotion for hearing healthcare
Bibliographic record
Abstract
Over the course of a lifetime, the risk of experiencing multiple chronic conditions (multimorbidity) increases, necessitating complex healthcare regimens. Healthcare that manages these requirements in an integrated way has been shown to be more effective than services that address specific diseases individually. One such chronic condition that often accompanies ageing is hearing loss and related symptoms, such as tinnitus. Hearing loss is not only highly prevalent in older adults but is also a leading cause of disability. Accumulating evidence demonstrates an interplay between auditory function and other aspects of health. For example, poorer cardiometabolic health profiles have been shown to increase the risk of hearing loss, which has been attributed to microvascular disruptions and neural degeneration. Additionally, hearing loss itself is associated with significantly increased odds of falling and is a potentially modifiable risk factor for cognitive decline and dementia. Such evidence warrants consideration of new possibilities-a new horizon-for hearing care to develop a holistic, person-centred approach that promotes the overall health and wellbeing of the individual, as well as for audiology to be part of an interdisciplinary healthcare service. To achieve this holistic goal, audiologists and other hearing healthcare professionals should be aware of the range of conditions associated with hearing loss and be ready to make health promoting recommendations and referrals to the appropriate health practitioners. Likewise, healthcare professionals not trained in audiology should be mindful of their patients' hearing status, screening for hearing loss or referring them to a hearing specialist as required.
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 | 0.014 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.010 | 0.012 |
| Insufficient payload (model declined to judge) | 0.024 | 0.004 |
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".