Wildlife in the city: An innovative approach to urban design for playa lake parks in Lubbock, Texas
Bibliographic record
Abstract
The prime objective ofthis study was to examine how people in Lubbock choose to interact with local wildlife so that guidelines which enhance people's experiences with urban wildlife can be developed. This thesis documented the behavior, reactions, and interactions of people towards wildlife during the winter months at three urban parks in Lubbock, Texas. The study was conducted at parks which contained modified playa lakes that provided year round water that is being utilized by wildlife. The time period for the site observations was dictated by the migration cycle ofthe Canada goose. Most ofthe behaviors documented were in relation to avifaima. Knowledge of wildlife habitats was combined with the study in Lubbock's parks to create proposed design guidelines that would enhance the experiences of those wishing to interact with wildlife. The proposed guidelines include two categories: (1) general guidelines which are intended to be used to cormect and combine urban habitats, and (2) site specific guidelines are aimed at enhancing habitats for the wildlife as well as to provide site elements that would increase human enjoyment One Lubbock park was redesigned, in a schematic form, to illustrate the application of design guidelines to a specific site in urban setting. This thesis also includes a brief historical background ofthe wildlife in Texas, the benefits of nature to human well-being, how wildlife fits into the urban scheme, as well as the role of landscape architects in providing urban wildlife habitats.
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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 | 0.001 | 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 | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".