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
1. Revisiting contemporary issues in green/ethical marketing: An introduction to the special issue Morven G McEachern and Marylyn Carrigan 2. Emotions as determinants of electric car usage intention Ingrid Moons and Patrick De Pelsmacker 3. The impact of general and carbon-related environmental knowledge on attitudes and behaviour of US consumers Michael Jay Polonsky, Andrea Vocino, Stacy Landreth Grau, Romana Garma and Ahmed Shahriar Ferdous 4. Understanding local food shopping: Unpacking the ethical dimension Phil Megicks, Juliet Memery and Robert J. Angell 5. A cross-cultural analysis of pro-environmental consumer behaviour among seniors Lynn Sudbury Riley, Florian Kohlbacher and Agnes Hofmeister 6. Chinese consumers' adoption of a 'green' innovation - The case of organic food John Thogersen and Yanfeng Zhou 7. Consumer attitudes towards sustainability aspects of food production: Insights from three continents Athanasios Krystallis, Klaus G. Grunert, Marcia D. de Barcellos, Toula Perrea and Wim Verbeke 8. Individual values and motivational complexities in ethical clothing consumption: A means-end approach Thomas Jagel, Kathy Keeling, Alexander Reppel and Thorsten Gruber 9. Barriers to downward carbon emission: Exploring sustainable consumption in the face of the glass floor Helene Cherrier, Mathilde Szuba and Nil Ozcaglar-Toulouse 10. Normalising green behaviours: A new approach to sustainability marketing Ruth Rettie, Kevin Burchell and Debra Riley 11. Individual strategies for sustainable consumption Seonaidh McDonald, Caroline J. Oates, Panayiota J. Alevizou, C. William Young and Kumju Hwang 12. Environmentally responsible behaviour in the workplace: An internal social marketing approach Anne M. Smith and Terry O'Sullivan 13. Heterotopian space and the utopics of ethical and green consumption Andreas Chatzidakis, Pauline Maclaran and Alan Bradshaw
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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