Bibliographic record
Abstract
Winner / Lauréate, Prix du Canada en sciences sociales, 2015! http://www.ideas-idees.ca/media/media-releases/winners-canada-prizes-announced-1 Finaliste de langue française, Essais, des Prix littéraires du Gouverneur général de 2013! http://ggbooks.canadacouncil.ca/fr Cet ouvrage présente une analyse discursive des récits identitaires albertains développés par rapport aux ressources pétrolières de l'Alberta, au fil de l'histoire moderne de la province. Par le biais des théories d'analyse du discours, on examine comment les médias canadiens et albertains ont présenté les phénomènes historiques des booms et busts pétroliers, et plus particulièrement comment l'industrie pétrolière canadienne a su récupérer les paramètres de l'identité albertaine pour suggérer une étroite association d'intérêt entre la communauté de l'Alberta et les divers groupes exploitant son pétrole. Pour ce faire, l'auteure établit des comparaisons entre les discours de l'énergie issus du Québec et ceux de l'Alberta, en faisant référence à la culture populaire et à la littérature classique. The stories of Alberta identity that evolved along with the development of the province's oil resources, over the course of Alberta's recent history, fuel this analysis of discourse. The author uses theories of discourse analysis to explore how the media in Canada and in Alberta have presented historical boom and bust phenomena in the oil industry, in particular, how the Canadian oil industry has built on characteristics of Alberta identity to create a close association of interests linking the Alberta community and oil producers. She draws on popular culture and classical literature to compare the discourse on energy in Quebec and Alberta.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.449 | 0.176 |
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".