Bibliographic record
Abstract
This chapter considers the actions that individuals will need to take in order to achieve the transition to a more sustainable society. This behavioural change will require policies and legislation that encourage patterns of consumption and behaviours consistent with living sustainably. Government intervention may be able to influence social behaviour, but ultimately, individuals will need to understand the reasons for change and the consequences if we continue on the current trajectory. Living in a sustainable world will require changes in the way that we live our lives. It is important that these changes bring consumer benefits rather than be regarded as a sacrifice for the greater good . Achieving changes in consumer behaviour will require policies that provide a combination of incentives, such as grants, plus disincentives such as taxes. In addition, the new generation of goods and services must be desirable to consumers by offering benefits that encourage changes in consumer behaviour. For example, the switch to EVs will offer consumer benefits, such as lower running costs. They will also bring other benefits, particularly in towns and cities where vehicle noise and air pollution will be greatly reduced. Similarly, energy efficient buildings will lower household bills and create a more comfortable living environment. Consumers should have expectations of living in energy efficient housing in the same way that we currently wish to live in houses that have double glazing and central heating. The other important area where change needs to occur is agricultural practices.
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.
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 | 0.005 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.247 | 0.074 |
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".