Our city our crew: sense of place, cultural entrepreneurship and ‘thick’ cultural resistance in the #SaveTheCrew movement
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
In this study, we examined the Twitter (now X, but hereafter still referred to as Twitter) hashtag #Savethecrew, a hashtag and movement created and maintained by Columbus Crew SC supporters in their attempt to prevent the relocation of their soccer team, from Columbus, Ohio, to Austin, Texas. We used two constructs – Sense of place and cultural entrepreneurship – as the basis for a critical exploration and thematic analysis. We analysed over 4000 Tweets and relevant media documents (eg local newspapers, club press statements) to explicate and frame the culturally resonant narratives and resistance strategies of Crew supporters. The case study emphasizes the ongoing importance of place and associated meanings, such as community, as strategically and culturally relevant resources that can be used to craft powerful and persuasive narratives. Ultimately, this culturally resonant narrative was used to resist ownership led activities that do not align with supporter ideals for what is best for soccer clubs and their surrounding communities.
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 | 0.001 | 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 it