Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Stokols and Shumaker suggested that places can be characterized in terms of whether they are occupied primarily by individuals, aggregates, or groups. The authors propose a fourth type of place, one occupied primarily by groups within an aggregate. This research used a multimethod approach to examine whether people go to football games alone or with others and, if with others, how many others. Observations of cars entering parking lots or parking decks indicated that on average each vehicle contained about 2.5 individuals. Surveys of individuals about to enter the stadium also indicated that on average people were in groups of about four. Computer vision tracking of pedestrians next to the stadium about 2 hr before the game indicated that, although about one quarter of the pedestrians were alone, groups averaged about four. Thus, the results suggested that informal groups became larger as a function of proximity to the stadium. Analyses of the space occupied by groups of different sizes indicated that as groups got larger, the amount of space per person got smaller. These results, which indicate that people go to football games in small groups, have implications for the built environment and security.
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.
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) | 0.001 | 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 it