Framing the Pipeline Problem: Civic Claimsmakers and Social Media
Bibliographic record
Abstract
Background This article responds to the need for additional research into the role that social media play in the debate on energy transition in Canada.Analysis Based on a qualitative case study of the most recent protests against the Kinder Morgan pipeline project, this article raises questions concerning the strengths and weaknesses of the contemporary communication opportunity structure for “claimsmaking” (as Joel Best defines it in Social Problems) and achieving public resonance by the civic grassroots in Canada.Conclusions and implications This article investigates the ways in which social media have become a site for framing collective action by pipeline opponents. It documents how citizens and civic organizations combine online and offline tools and tactics to take part in the shaping of public understanding of pipeline projects in Canada and in the influencing of energy policy and decision-making.Contexte Cet article répond au besoin de recherches additionnelles sur le rôle joué par les médias sociaux dans le débat sur la transition énergétique au Canada.Analyse Cet article se base sur une étude de cas qualitative sur les manifestations les plus récentes contre le projet de pipeline Kinder Morgan afin de relever les forces et faiblesses de la structure d’opportunités communicationnelles contemporaines pour la formulation de demandes (telle que définie par Joel Best dans Social Problems) et la conscientisation du public par les mouvements populaires au Canada.Conclusions et implications Cet article explore les manières dont les médias sociaux sont devenus un site important pour déterminer l’action collective que les opposants aux pipelines peuvent mener. Il documente comment les citoyens et les organismes civiques combinent des outils et tactiques en ligne et hors ligne afin d’influencer la perception publique à l’égard de projets de pipeline au Canada ainsi que les politiques et la prise de décisions sur l’énergie en général.This article responds to the need for additional research into the role that social media play in the debate on energy transition in Canada. Based on a qualitative case study of the most recent protests against the Kinder Morgan pipeline project, we raise questions concerning the strengths and weaknesses of the contemporary communication opportunity structure forclaimsmaking and achieving public resonance by the civic grassroots in Canada. We investigate the ways in which social media have become a site for framing collective action by pipeline opponents. We document how citizens and civic organizations combine online and offline tools and tactics to take part in the shaping of public understanding of pipeline projects in Canada and to influence energy policy and decision-making.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.023 | 0.035 |
| Scholarly communication | 0.023 | 0.010 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 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".