From Storefronts to Headlines: Framing News Media Content to Understand the Barriers to Cannabis Retail Operation in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background Since the legalization of cannabis in Canada, there have been numerous issues impacting private cannabis retailers, potentially affecting public health and safety. Media framing of these issues plays a crucial role in shaping public perception and policy discourse. This study examined the media's portrayal of the challenges associated with cannabis legalization and its impact on private cannabis retail operations. Methods News media content and framing analyses of Canadian news articles published between 2017 and 2022 were conducted. Articles were selected from Nexis Uni and Eureka databases if they referenced at least one barrier to private cannabis retail stores. Data were extracted and screened using Covidence and deductively coded to depict how the media presented these barriers, focusing on their definitions, underlying causes, moral reasoning, and suggested solutions. Results Of the 9,371 articles screened, 293 qualified for inclusion. The analysis revealed that media portrayals of cannabis retailers’ barriers varied, with government regulatory challenges, supply chain challenges, and unlicensed market competition as the most prominent frames. While some articles portrayed these challenges as hindrances to business success, the majority depicted them as the government's responsibility, justifying its stance by emphasizing the need to protect public health and safety and eliminate the unlicensed market. Conclusion This study indicates that the way media frame the challenges faced by cannabis retailers has the potential to influence public opinion and shape policy debates. Recognizing these media dynamics is essential for informing the development of effective government policies that not only support a stable cannabis retail market but also prioritize public health and safety.
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.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it