Peak-nic Electronik: Following the Formation & Culmination of Social Atmospheres Through Temporally and Spatially Spread Group Consumption Settings
Bibliographic record
Abstract
Atmospheres crafted by a range of personal, social, and material stimuli imbue consumption spaces with “qualities of feeling” that inform consumers’ behaviors and emotions (Böhme, 2008; Hill et al., 2021). During collective live events, the experience of atmosphere is shared among the consumers present in the space. Through the lens of sociological interaction ritual theory, a four-stage process underlining the emergence and intensification of social atmospheres was conceptualized demonstrating how the entrainment of consumers’ emotions and behaviors by a shared focus results in lively expressions of collective effervescence (Hill et al., 2021). The interaction ritual chain informing the creation of the social atmosphere was only evaluated within the context of spatially and temporally bound collective live events, leaving out its exploration in live events whereby consumers flow through the space along their own timelines. My qualitative study uses the context of music festivals to examine this gap with research rooted in an ethnography of Piknic Electronik, a seasonal Montreal festival. My findings reveal how spatially and temporally spread contexts distract shared focus among the consumers present, weakening the intensification of the social atmosphere and breaking down the collective manifestation of effervescence into smaller, lower-intensity peaks experienced to different extents among attendees. For practitioners, this research provides insight into managing points of tension that interrupt consumers’ entrainment and facilitating the flow of social atmosphere build up through the design of atmospheric cues in seasonal music festival contexts. Keywords: interaction ritual chains, social atmosphere, music festivals, group consumption
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.
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 | 0.000 | 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) | 0.000 | 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".