Confronting climate crisis through corporate narratives: the fairy tale in LVMH’s 2020 and 2021 social and environmental responsibility reports
Bibliographic record
Abstract
Situated in the context of the climate crisis this research examines the LVMH Corporation’s 2020 and 2021 Social and Environmental Responsibility Reports through the lens of the narrative structure found in fairy tales. Central characters and the trajectory of the narrative are consistent with this literary form, and counter narratives that provide context to the corporate narrative also emerge. This analysis suggests the significance of narratives to corporate communications, their application extending beyond the brand communication or user-generated content generally investigated in the marketing and consumer research literature. Moreover, the article elaborates on how luxury corporations, like LVMH, communicate their efforts to counter climate crisis in ways that meet the expectations of stakeholders, especially investors and consumers. The findings have implications for future research on how narratives impact stakeholder perceptions of luxury corporations.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".