Commodifying local culture for tourism development: the case of one rural community in Atlantic Canada
Bibliographic record
Abstract
This doctoral dissertation is an investigation of the relationships and connections among local culture, commodification, rural community, and tourism, particularly within the local-global nexus and ongoing challenge for sustainability. It describes the study of one rural community in Atlantic Canada in its pursuit of local culture-based tourism development. Specifically, it explains the commodification of culture process, an important topic that has not been examined in great detail. This exposition also broadens perspectives when assessing the real potential of local culture-based tourism development for rural community sustainability. The investigation followed the epistemological assumptions of the interpretive study; the methodological approach was drawn from hermeneutics and the case study method. A single case study design was applied to investigate a specific contemporary phenomenon of social and structural transformation in one community, Lunenburg, Nova Scotia. The researcher employed a mixed methods approach, using both qualitative and quantitative techniques. This dissertation includes a theoretical framework that was developed, applied and then modified to explain how culture, as a social construct of community, is impacted by tourism. Findings reveal a commodification process that is conceptualized under four main premises: (1) local culture is capitalized as an asset; (2) traditional mechanisms of accumulation, transmission and reproduction of culture give way to new modes; (3) fundamental social and cultural changes take place, and (4) a radical shift in community ideology occurs. Findings also suggest that local culture, as capital, may be a community's most valuable asset and warrants inclusion into community asset-based models of sustainability. Paradoxically, results also indicate that commodification of culture for tourism may impede community sustainability by unbalancing other critical community capital assets. In fact, such tourism development may invoke a metamorphosis of community whereas the 'old' traditional community culture eventually dies and is replaced with the birth of a 'new' culture. Consequently, conventional understandings of community sustainability are questioned as this dissertation advances a new theory of commodification of culture for tourism development.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.036 | 0.008 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".