What Is Treatment Evaluation Research? What Is its Relationship to the Goals of Audiological Rehabilitation? Who Are the Stakeholders of this Type of Research?
Bibliographic record
Abstract
Three topics related to treatment evaluation research in audiological rehabilitation are discussed. First, the International Classification of Impairments, Activities and Participation (ICIDH-2) (World Health Organization, 1999) is described and proposed as a general conceptual framework for the design of intervention and research activities in audiological rehabilitation. Second, the three main domains of treatment evaluation research (efficacy, effectiveness, and efficiency) are briefly outlined. Third, the various consumers of treatment evaluation research in audiological rehabilitation are identified. Also, the domains of treatment evaluation research that are of interest to each of these consumer groups are presented. An analysis of the main interests of each group of stakeholders suggests that, at present, evaluative research in audiological rehabilitation does not adequately meet the needs of all stakeholders. Nevertheless, the future of evaluative research in audiological rehabilitation is promising, for several reasons: 1) research related to audiological rehabilitation is being actively pursued especially in the areas of treatment efficacy and treatment effectiveness; 2) the audiological rehabilitation community should be able to adapt its endeavors to the proposed conceptual framework of health conditions fairly easily (ICIDH-2; World Health Organization, 1999); 3) the research needs of the primary stakeholders of audiological rehabilitation are known; and 4) there is a keen interest within the professional community to develop this area of research. All of these conditions are propitious for setting the research agenda of treatment evaluation research in audiological rehabilitation for the next several years.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".