(Not so) crude text and images: staging<i>Native</i>in ‘big oil’ advertising
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
Transnational energy companies' representations of Indigenous bodies and landscape in corporate advertising and social responsibility reporting can be thought of as staged and operating on more than one level of meaning. Understanding these representations as performative makes clear these are ongoing social and cultural constructs embedded in a body of discourse that is marked by White culture's own desire for permanence and fixity in relation to a privileged positioning. The staging of Native bodies and landscapes, in part intended to allay growing public concerns about environmental impacts associated with fossil fuel production, is achieved through the strategic use of images and text. Semiological analysis helps to make explicit the manner in which oil and gas transnationals' displaying of a racialised Native subject in the context of ‘partnership’ serves as a greenwashing strategy consistent with Canada's own dominant national narratives. Recognising advertisements and corporate social responsibility reports not as neutral knowledge but as sites of knowledge production reveals myths and stereotypes that serve to prevent, rather than encourage, true sustainability.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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