Festive nostalgia in COVID-19: an empirical investigation
Bibliographic record
Abstract
The COVID−19 pandemic has reinforced the importance of positive memories. Therefore, our study develops a measurement instrument for festive nostalgia, composed of seven dimensions and measured through 28 items. A rigorous scale development process was adopted and validated through two main studies. While a convenience sample (303 participants) was used to assess the initial validity through exploratory factor analysis, a final sample of 412 respondents was used to assess the second-order factor structure of festive nostalgia through CFA and structural equation modelling. Findings suggest festive nostalgia can significantly predict intention to recommend and revisit intentions. Also, the study suggested that festive nostalgia is manifested through festivals, festive experience, festive environment, festive socialization, festive identity, cultural identity and festive activity involvement. Based on the findings, managers of festive destinations can formulate strategies to draw tourists willing to participate in festivals and develop the attractiveness of such destinations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".