Steve Baskis - Advocate for Disability by Adventure Exploration and Adaptive Recreation
Bibliographic record
Abstract
Co-sponsored with Veteran & Military Center and Office of Disability Services Steve Baskis is a blind veteran, adventurer, speaker, and advocate for disability awareness through adventure exploration and adaptive recreation. Blindness instilled in Baskis a drive to test his own potential and push the boundaries of what disabled people are perceived capable of doing. His desire to serve in the military, as his father and grandfather did, led Baskis to enlist in the U.S. Army. Just eight months into his first deployment, in 2008, a roadside bomb in Iraq left him permanently blinded. One year later, Baskis climbed with the first U.S., Canada, and Mexico blind team to the top of the eighth tallest peak in North America. He later joined a group of disabled veterans to climb 20,000-foot Mount Lobuche in the Himalayas. That Soldiers to Summits trip was recorded for the documentary film High Ground. Baskis has ascended to new heights every year and developed a love and passion for competitive sports and outdoor recreation. He has also: Climbed or attempted to climb Mount Kilimanjaro in Africa, Russia’s Mount Elbrus, a Mexican volcano, a 14,000-foot Rocky Mountain peak, and Colorado’s Bastille Crack Navigated whitewater rapids on the Yellowstone River Trained with the U.S. Paralympic cycling team Participated in: Nordic skiing Biathlons Marathons Triathlons Scuba diving Snowshoeing Steve Baskis has challenged and shattered people’s perception of blindness through his advocacy as well as his example. From grade school assemblies to corporate events, Baskis has given motivational and informative presentations to a wide range of organizations. He is excited to inspire and raise awareness through adventure and exploration.
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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 | 0.001 | 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 | 0.000 | 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) | 0.000 | 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 teacher head, 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".