The Blind Scientists and the Elephant of Swallowing: A Review of Instrumental Perspectives on Swallowing Physiology
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Swallowing is a complex biomechanical process. In this review, several different techniques for measuring swallowing physiology are described, and limitations of each instrumental perspective are discussed. The techniques discussed include videofluoroscopy, endoscopy, three‐dimensional dynamic computed tomography imaging, ultrasound, electromagnetic articulography, electromyography, lingual and pharyngeal manometry, electropalatography, airflow measurement, and swallowing acoustics/accelerometry. It is hoped that this review will inform scientists in the food oral‐processing field regarding methods that may be useful for capturing relevant features of swallowing behavior across different food textures and liquid consistencies. Likewise, it is hoped that the delineation of current gaps in knowledge will reveal topics of shared interest for swallowing and food oral scientists as a first step toward future collaboration. Practical Applications Swallowing is something that we take for granted, but is actually a complicated biomechanical activity involving many muscles. The process of swallowing can be studied or measured using a variety of different clinical and instrumental techniques. In this review article, the strengths and limitations of several different instrumental approaches to measuring swallowing behaviours are discussed. An extensive reference list is provided to original articles using these different techniques.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it