Health impact of phytohaemagglutinin-induced immune challenge on great tit (<i>Parus major</i>) nestlings
Bibliographic record
Abstract
Assuming that immune function is resource-limited, it can be expected to compete with other important functions of an organism for the total resource pool, giving rise to trade-offs in resource allocation. To test whether such a trade-off exists between immune defence and growth, the physiological impact of an immune challenge was examined in great tit (Parus major) nestlings, using phytohaemagglutinin (PHA) as a novel antigen. Nestlings injected intradermally with PHA in wing webs at 8 days of age produced a heterophilic response, while their growth was not suppressed in comparison with untreated control siblings. Nestlings that grew poorly produced a weaker cutaneous response to PHA inoculation than well-growing nestlings. These two results suggest that the response to PHA (a measure of the intensity of T-lymphocyte mediated immune responsiveness) is resource demanding, but these resources are not reallocated from those used for growth. This finding can be reconciled with current hypotheses, which propose that the currency in trade-offs between immune response and other demands on the organism is not necessarily energy or macronutrients but may instead be based on immunopathology, carotenoids, or production of free radicals.
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 | 0.000 | 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".