A short spring before a long jump: the ecological challenge to the steppe tortoise (<i>Testudo horsfieldi</i>)
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
The steppe tortoise (Testudo horsfieldi) is probably the most widespread and abundant of all living terrestrial tortoises, but paradoxically, this chelonian as been studied only superficially. Steppe tortoise populations are declining rapidly as a result of massive harvesting for the pet trade and extensive disruption of their habitat by intensive agriculture. Thus, it is urgent to acquire accurate information on major life-history traits. Our 5-year field study at the Djeiron Ecocenter in the Republic of Uzbekistan indicates that steppe tortoises usually remain buried in one place for over 9 months, which helps them cope with the extreme environmental conditions that occur in summer, fall, and winter. After emerging in late winter, steppe tortoises have less than 3 months in spring to forage to obtain the fuel needed for growth and reproduction, and replenish the body reserves necessary for the subsequent 9 months of total starvation. The mating period occurred between the end of March and mid-April and the egg-laying period from the end of April to mid-June. Using radio-tracking and focal sampling, we measured the time devoted to different activities by males and females. During the mating period, males allocated a large proportion of their daily activity to sexual behaviours, whereas females' sexual activity tended to be cryptic. However, males devoted less time to feeding and resting than did females. During the postmating period, both males and females spent much time foraging. The strong sexual divergences indicate that each sex copes differently with the extreme continental climate. The seasonal and interannual changes in body mass indicate complex interactions between climatic conditions, activity budget, and body reserves.
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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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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