Bibliographic record
Abstract
Humphries is an industrial designer working principally with Morgan Motor Company, an internationally iconic British manufacturer. Before the REF census period, Humphries was the first Head of Design for the company, which had previously been sustained only by engineering and craft skills. LIFECar was a concept car for the motor trade, balancing luxury and sustainability. The output was a full-size, working prototype for an environmentally clean vehicle. Other partners in the £1.7m project were Cranfield University, Riversimple, Oxford University, QinetiQ, OSCar and BOC Linde. The research team focused on reducing the quantity and density of material, together with novel power technologies. Humphries’s design research focused on reconciling luxury with use of lightweight materials. Research processes included (1) analysis of existing and historical embodiments of luxury in automotive design and in architecture, furniture, luxury goods and other fields; (2) close working with company engineers and craftspeople to draw out their tacit understanding of quality, especially in relation to materials and techniques. The result was to challenge current concepts of luxury based on over-use of materials, instead celebrating quality of making, honesty of materials, sympathy between materials and manufacturing processes, and British idiosyncrasy. The ‘new luxury’ concept developed is now a guiding principle of Morgan Motor Company’s continuing design strategy. LIFECar was shown at the Geneva Motor Show 2008 and the Cranfield/Royal Academy of Engineering exhibition (2009). It was discussed extensively in trade publications. International press included Corriere della Sera (Italy, 2008), Montreal Gazette (2013), Sydney Morning Herald (2009), The Sunday Age (Australia, 2008), Die Zeit (Germany, 2010). It also featured as a BBC Newsbeat article ‘Green cars get sexier’ (2008).
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.730 | 0.556 |
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".