An Examination of the Effectiveness of the Elam Ending at TBT2018 and TBT2019
Bibliographic record
Abstract
The Elam Ending calls for the final portion of each basketball game to be played without a game clock, as a way to preserve a more natural style of play through the end of every game. The rule aims to address certain late-game strategies and phenomena attributable to the game clock under basketball’s traditional, fully timed format. The Elam Ending was first implemented by TBT: The Basketball Tournament, in 2017. Since then, the format has been implemented in subsequent editions of TBT, the 2020 NBA All-Star Game, and the FIBA-sanctioned Canadian Elite Basketball League. However, limited research exists examining the effectiveness of the Elam Ending in meeting its aims. Elam (2019) used quantitative descriptive data to examine the only 11 games played under the Elam Ending at TBT2017. This study replicates the previous study, examining all 134 games played under the Elam Ending at TBT2018 and TBT2019. This study shows the Elam Ending to be effective in meeting all of its aims at TBT2018, and even more so at TBT2019 after the format was slightly modified. This study can be particularly useful for any organizer or stakeholder involved with a basketball league/event considering implementation of the Elam Ending.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".