FANDOM EFFECTS ON THE PSYCHOLOGICAL WELL-BEINGOF ITS PARTICIPANTS DURING COVID-19
Bibliographic record
Abstract
The COVID-19 pandemic has considerably impacted many people's lives. The article presents the results of studying the fandom effects on the psychological well-being of its participants during from 30 countries among them Canada, France, Russia, China, Ukraine, the United States, Australia filled an online survey. There is a lack of cross-cultural studies regarding the influence of Francophone music on the well-being of people of different ages. Respondents answered questions about their background, stress context during pandemic study, family stress, grief, loss, traumas), personal characteristics (based on TIPI questionnaire), and the degree to which they were influenced by Daniel Lavoie's music and his fandoms before and during pandemic. Questionnaires also were conducted to explore how the Daniel Lavoie's fans use social media to maintain their transcultural fandom. This method was chosen to emphasize the participants' life histories and let them share their words and ideas about what their lifecourses as a fans means to them and how they experience this. The results showed that despite the fact that Daniel Lavoie is a French-speaking singer and his fans' favorite songs are in French, his fandom is transcultural, where only 32,62% know French at an high intermediate and advanced level. As a result, 99.8% of fans, regardless of age, level of education and employment status, said that acquaintance with Daniel Lavoie's work had a positive effect on their worldview, opened new opportunities for selfrealization and personal growth Analyses showed that benefits Daniel Lavoie's music bring and main new experiences derived from Daniel's creativity and participation in his fans communities. Daniel Lavoie's music contributes to the personal growth of his fans. There are statistically significant age differences in this aspect of the impact: youngest fan can lose track of time when listening to Daniel Lavoie's music and the eldest -can more transcend everyday experience.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".