Public perceptions of hydraulic fracturing for shale gas and oil in the United States and Canada
Bibliographic record
Abstract
The United States and Canada have been at the forefront of shale oil and gas development via hydraulic fracturing. Understanding public perceptions is important given the role that they may play in future policy decisions in both North America and other parts of the world where shale development is at a much earlier stage. We review 58 articles pertaining to perceptions, published between 2009 and 2015. Studies report mixed levels of awareness of shale operations, tending toward higher awareness in areas with existing development. While individuals tend to have negative associations with the term ‘fracking,’ views on shale development are mixed as to whether benefits outweigh risks or vice versa: perceived benefits tend to be economic (e.g., job creation and boosts to local economies) and risks more commonly environmental and/or social (e.g., impacts on water and increased traffic). Some papers point to ethical issues (e.g., inequitable risk/benefit distribution and procedural justice) and widespread distrust of responsible parties, stemming from perceived unfairness, heavy‐handed corporate tactics, and lack of transparency. These findings point to the contested, political character of much of the debate about hydraulic fracturing, and raise questions of what constitutes ‘acceptable’ risk in this context. We compare these results with research emerging in the UK over the same period. Future research should focus on nuanced inquiry, a range of methodologies and explore perceptions in varied social and geographical contexts. Both this and future research hold the potential to enhance public debates and decisions about shale gas and oil development. WIREs Clim Change 2017, 8:e450. doi: 10.1002/wcc.450 This article is categorized under: Perceptions, Behavior, and Communication of Climate Change > Perceptions of Climate Change The Carbon Economy and Climate Mitigation > Policies, Instruments, Lifestyles, Behavior
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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 | 0.005 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| 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".