Reply to Second comment on ‘The climate mitigation gap: education and government recommendations miss the most effective individual actions’
Bibliographic record
Abstract
In their comment piece, Laycock and Lam ( Environ. Res. Lett. 13 068001) focused on the importance for reducing emissions of actions beyond individual choices and overconsumption, and raise the issue of family planning as a human right. Here we respond that both individual and collective actions, in private and professional life, are important to reducing emissions to near zero in the next few decades. While we do not argue that individual actions will be sufficient to achieve this profound transformation, we believe that they can be helpful towards this goal, and also note from our own observations that we see personal, professional, and collective actions as often mutually reinforcing rather than contradictory. Regarding overconsumption, we reiterate that our study was designed to illustrate the decisive role that consumption patterns play in driving greenhouse gas emissions, based on the understanding that wealthy, high-carbon individuals are responsible for a disproportionately large share of emissions. Regarding the ethics of family planning, we fully agree with Laycock and Lam (and international agreements) that family planning is a private decision. We give examples of our careful public communication around this issue to provide this context and thank them for the opportunity to do so. In their comment piece, Laycock and Lam provide insight into the discussion of high-impact climate actions, especially concerning the effect of communicating about family size. Here we respond to their thoughts on the scope of our research, including (1) the importance of actions beyond the private individual level, (2) the importance of overconsumption to an individual's emissions and (3) the ethics of communications pertaining to the planning of family size.
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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 | 0.015 | 0.086 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.079 | 0.086 |
| Insufficient payload (model declined to judge) | 0.016 | 0.013 |
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".