Landowner Habitat Stewardship Guide
Bibliographic record
Abstract
Maintaining the ecological integrity and viability of the land is key for not only the landholders ’ livelihood, but also the wildlife habitat they manage or conserve. The “At Home on the Range Guide – Living with Alberta’s Prairie Species at Risk ” is a landholder friendly guide that discusses several ways in which landholders can enhance and maintain native habitat on their land. Most of Alberta’s species at risk fall under provincial jurisdiction. The success of MULTISAR can be attributed to the multi-species approach, voluntary collaboration, partnerships, and acknowledgement that many of these species still exist due to the conservation practices of landholders. At Home on the Range MULTISAR is a process for multi-species conservation at the landscape level. In 2007 MULTISAR expanded to the grasslands of Alberta and will continue to work collaboratively with landholders as part of MULTISAR’s awareness and education campaign (www.multisar.ca). An important tool for MULTISAR’s awareness and education campaign is the “At Home on the Range – Living with Alberta’s Prairie Species at Risk ” guide. “At Home on the Range ” is a landholder friendly guide that discusses several ways in which landholders can enhance and maintain native habitat on their land. The guide starts with a brief introduction on Alberta’s grasslands before starting into Species at Risk 101, which looks at who, what, where, why and how certain species came to be at risk. The second chapter looks at the implications (good and bad) of having species at risk on your land and the rest of the guide contains positive practices that can benefit species at risk and their habitat. The “At Home on the Range ” guide also contains a mini-guide within entitled “Over and Under the Range”, which describes the importance of maintaining the ecological integrity of the range to not only benefit wildlife, but also soil stabilization, weed control, water filtration, nutrient buildup, and ultimately provide long-term economic returns.
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 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) | 0.005 | 0.009 |
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; both teacher heads agree on what is shown here.
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".