Novel discourse and institutional legitimation: The rhetorical construction of Alberta’s bitumen bubble
Bibliographic record
Abstract
We use an interpretive perspective to understand the construction of a novel discursive entity – Alberta’s “bitumen bubble” --in public discourse. This bubble or gap between forecast and actual oil prices was destined to result in “six billion dollars less in revenue this year alone” for Alberta according to Premier Allison Redford. To explore the discursive construction of this novel entity, we analyzed: 1) the 2012 Alberta budget speech preceding the bubble’s invention, 2) Premier Redford’s speech announcing the emergence of the bubble, and 3) the 2013 Alberta budget speech where the “bitumen bubble” was used to justify extensive budget cuts. Conceptually the paper 1) addresses the role of organizational rhetoric in the discursive construction of novel phenomena, 2) explores how temporal sensemaking in organizational discourse produces novelization, and 3) develops theoretical insights into how institutional legitimation is undertaken with rhetoric, temporal sensemaking and novelizing discourse.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".