Bounded Impacts: Measuring Residents’ Social (Media) Event Impacts From a Major Sport Event
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
This study measured if residents, or subsets of residents, experienced social event impacts (SEIs) and social media event impacts (SMEIs) from a major sport event. Panel data were collected from 1,027 individuals using an online survey 9 months postevent. Descriptive statistics indicated that although the event did not jeopardize residents’ safety or cause them conflict, it failed to produce positive SEIs and SMEIs, other than feel good factor, among the population. A cluster analysis revealed that while there was a subset of residents who experienced positive SEIs and SMEIs, over half were limitedly impacted, experiencing either no positive SEIs nor SMEIs or only SEIs. This research advances SEI-related theory by investigating impacts among all community members, not just attendees; measuring impacts further out from the event, not just shortly postevent; and introducing SMEIs. It challenges the notion that events elicit positive SEIs while identifying boundaries with respect to who experiences them.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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