How can engineering education contribute to a sustainable future?
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
In the present paper we question how engineering education (and engineering) can support greater participation and inclusiveness in decision making and science and technology. We consider the work relating to engineering and society that is conducted by the scholars of science and technology studies, but which is rarely read or considered by the engineering educators who could draw on it. We consider the results of an initial analysis of data collected from interviews with the science, technology and society (STS) faculty across North America and Europe. STS looks at how technology affects society and how society affects technology, while engineers ‘create’ technology. Consequently the current authors suggest that it would be of great relevance to both engineering and STS to join up the thinking across these two arenas by focusing on a question that is not privy to the disciplines: is how can we create a socially just and sustainable future for all? We shall consider questions asked in STS of technology (engineering), e.g. what is its impact on society, who owns the technology, what are the political artefacts of the technology and we consider their influence on engineering (education). Using a phenomenographic approach to the research, 12 categories of description have emerged. Three of these categories are highlighted in this paper: participation; politics and policy; and citizenship, as they reflected themes that are rarely ‘discussed’ in engineering curricula but which appear to be uppermost in the STS arena. Participation was described in a range of ways, from approaches to participation to the case for and against it. In politics and policy much was made of the interplay between scientists and politicians and the power and knowledge games between these two arenas. Citizenship is a hotly discussed topic and is evident in a number of government agendas. Approaches to enhancing citizenship are discussed in a myriad of ventures, e.g. through public participation, being critical of information and through education. ‘It is only the oppressed who by freeing themselves can free their oppressors. The latter, as an oppressive class, can free neither others nor themselves. It is therefore essential that the oppressed wage the struggle to resolve the contradiction in which they are caught; and the contradiction will be resolved by the appearance of the new man: neither oppressor not oppressed, but man in the process of liberation. If the goal of the oppressed is to become fully human, they will not achieve their goal by merely reversing the terms of the contradiction, by simply changing poles…’. Paulo Freire, 1970
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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