Slick, Stretchy Fascia Underlies the Sliding Tongue of Rorquals
Bibliographic record
Abstract
The tongue of rorqual (balaenopterid) whales slides far down the throat into the expanded oral pouch as an enormous mouthful of water is engulfed during gulp feeding. As the tongue and adjacent oral floor expands and slides caudoventrally, it glides along a more superficial (outer) layer of ventral body wall musculature, just deep to the accordion-like ventral throat pleats. We hypothesize that this sliding movement of adjacent musculature is facilitated by a slick, stretchy layer of loose areolar connective tissue that binds the muscle fibers and reduces friction: fascia. Gross anatomical examination of the gular region of adult minke, fin, and humpback whales confirms the presence of a discrete, three-layered sublingual fascia interposed between adhering fasciae of the tongue and body wall. Histological analysis of this sublingual fascia reveals collagen and elastin fibers loosely organized in a random feltwork along with numerous fibroblasts in a watery extracellular matrix. Biomechanical testing of tissue samples in the field and laboratory, via machine-controlled or manual stretching, demonstrates expansion of the sublingual fascia and its three layers up to 250% beyond resting dimensions, with slightly more extension observed in anteroposterior (rather than mediolateral or oblique) stretching, and with the most superficial of the fascia's three layers. Anat Rec, 2018. © 2018 Wiley Periodicals, Inc. Anat Rec, 302:735-744, 2019. © 2018 Wiley Periodicals, Inc.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".