Recognising the regenerative impacts of Canadian women tourism social entrepreneurs through a feminist ethic of care lens
Bibliographic record
Abstract
Purpose The overarching aim of this project is to understand the role women tourism social entrepreneurs (TSEs) play in contributing to regenerative practices in Canada. Design/methodology/approach Semi-structured interviews were carried out with women food TSEs with snowball sampling. This paper challenges the assumption that the masculine experience is the human experience. Accordingly, this research is informed by a feminist ethic of care lens to recognise the important role of Canadian women TSEs. Methodologically, the authors employed the strategies of a constructivist grounded theory to guide the analysis (Charmaz, 2011). This process involved carefully engaging in a close line by line reading of the transcripts, developing codes based on the authors’ dealings with the data including summarising, synthesising and sorting the data (Charmaz, 2011). Findings The analysis revealed three categories: (1) Adopting a regenerative mindset and enhancing well-being, (2) Supporting the consumption of real food and (3) Educating communities for regenerative and just futures. The analysis revealed the importance of women TSEs in adopting a regenerative and caring mindset to enhance the well-being of their communities and beyond. Research limitations/implications The study focusses on the learnings from 11 entrepreneurs from Canada. There is a scope to expand the discussion with more interviews. The impact of this pandemic on the small businesses resulted in affecting the researchers’ participation by presenting some unique challenges in participant recruitment. Maybe the studies in the near future will focus on grounding the research papers based on other sexual orientations and indigenous social entrepreneurs. Practical implications The authors hope future studies centre diversity and attend to the role of women in their communities to better under the diverse contributions. The work presented here is part of a broader study on the role and impact of women TSEs and so only reveals the tip of the Canadian iceberg. Forthcoming studies will attend to some of the gender-specific barriers faced by women TSEs and the supports required particularly in the wake of COVID-19. The authors hope other scholars continue to build on this work, adopting feminist approaches to enhance our understanding of the role women play in contributing to just, caring and regenerative futures. Social implications Contributing to Higgins-Desbiolles and Monga's (2021) in-depth case study using an ethic of care to examine an Australian events business supporting homeless individuals, the analysis of the 11 in-depth interviews with Canadian TSE provides evidence of alternative ways women are delivering social value. Using an ethic of care lens has elicited the impacts created by the informants and the ripple effects particularly in light of regenerative practices which are crucial in the tourism sector as borders and destinations reopen to tourism as noted by Ateljevic (2020). Originality/value There are few studies in the tourism social entrepreneurship literature that recognise the agency and centres the vocies of women. Kimbu and Ngoasong (2016) made a call for more research to understand how women engage in social entrepreneurial activities and benefit their local communities. There are limited analyses on regenerative tourism in practice in the scholarly literature. To respond to this gap the authors examine the regenerative practices of women TSEs in Canada.
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 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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.030 | 0.022 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".