Bibliographic record
Abstract
Glucocorticoids are steroid hormones that circulate in the blood to coordinate organismal physiology. They have pleiotropic effects, regulating metabolic, cardiovascular, neural, and immune function. While glucocorticoids are classically thought to be secreted exclusively by the adrenal glands, evidence suggests that different organs may be able to autonomously regulate their local glucocorticoid levels via local production. Local production may be important when circulating glucocorticoids are low or absent, such as in early life of altricial young, which are unable to care for themselves. Immune (lymphoid) organs are particularly interesting candidates for tissue-specific regulation of glucocorticoid levels, as glucocorticoids are necessary for early-life immune development in altricial young. In this dissertation, I present a series of studies using birds and mice to examine whether tissue- specific regulation of glucocorticoids occurs in lymphoid organs. In brief, I report that a) glucocorticoids are locally elevated in lymphoid organs of newly-hatched altricial but not precocial birds, b) glucocorticoids are locally elevated in lymphoid organs of neonatal altricial mice, and c) lymphoid organs of both neonatal and adult mice synthesize glucocorticoids from other steroid precursors. Local glucocorticoid production in lymphoid organs may function to ensure production of functional lymphocytes, and factors that alter lymphoid glucocorticoid levels may play a role in programming the overall immune reactivity.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".