Establishment of Hand Rearing Protocols with Respect to Feeding, Physiological and Behavioral Aspects in Abandoned Lion Cubs at Safari Zoo Lahore
Bibliographic record
Abstract
African lion (Panthera leo) being most attractive but vulnerable exhibit of zoos and safaris; need particular attention to breeding plans. At captive sites, lioness neglects newborns commonly; at that stage, hand rearing is preferred. This study will highlight the best practices for hand-rearing lion cubs, including knowledge of early medical issues along with their treatment during the first 4 months of growth. 34 lions (08Male: 17Females: 9Cubs) were housed on 15 acres during 2019-21 at Safari Zoo Lahore. A total of 04 lionesses were found entirely abandoned to 05 newborns (03 males & 02 females). The hand-rearing period was divided into four phases based on age and feeding protocol and every cub was offered formula milk with or without meat depending upon age. The average weight gain of all the cubs was recorded along with problems/ conditions faced during process. The male cub 3 was found highest in weight gain but statistically no age wise or sex wise difference in growth was observed. The major problems faced were constipation, diarrhea, hyperthermia, eye blindness, and hind quarter weakness in 100 %, 100 %, 40 %, 20 %, and 40 % animals, respectively. All five successfully hand-reared cubs were shifted to 03 sub- adult lion’s enclosures. The behavioral changes of all the lion cubs were also recorded concerning aggression while feeding and pacing in the enclosure, etc. The study outcomes the protocol for hand rearing abandoned lion cubs, which would ultimately be helpful to the zoo keepers and wildlife conservationists.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".