Science at the Seaside - Research dissemination through conference papers, public talks & an article (Contextualising information)
Bibliographic record
Abstract
Science at the Seaside is a collaboration between Ilfracombe Museum, Bath Spa University and the University of Exeter, which proposes a new and original understanding of the interlinked growth of popular science and coastal tourism during the Victorian period, with the different outputs producing original insights into the Victorian fascination with natural history. This item contains documentation of various talks and presentations by the researcher, related to the overall research. 1) Document by Dr Hadjiafxendi detailing a list of conferences and paper abstracts2) British Association for Victorian Studies (BAVS) Annual Conference leaflet (University of Exeter, 29th-31st August 2018) [Dr Kyriaki Hadjiafxendi's session on page 21] BAVS 2018 Annual Conference leaflet and schedule created by and courtesy of Kate Newey, Patricia Zakreski, and the BAVS 2018 conference organisation team. Used with permission. 3) BAVS 2018 abbreviated schedule4) Ocean Matters symposium schedule, Bristol Aquarium, (26-27 May 2018)Seahorse artwork by Rachel Falber, donated for use by the Symposium.5) North American Victorian Studies Association (NAVSA) Conference leaflet (Banff, Alberta, Canada, 15-18 November 2017) [Dr Hadjiafxendi's session on page 23]Courtesy of North American Victorian Studies Association. Used with permission. 6) North American Victorian Studies Association (NAVSA) Conference schedule (Banff, Alberta, Canada, 15-18 November 2017) [Dr Hadjiafxendi's session on page 10] Courtesy of North American Victorian Studies Association. Used with permission. 7) Landscaping Change conference leaflet (Bath Spa University, Newton Park Campus. 29th – 31st March 2016). Conference organiser and leaflet designer, Samantha Walton. Used with permission. [Dr Hadjiafxendi's session on page 5]8) 'Discoveries on the shore' article in Primary Teacher Update[Accepted Manuscript version]
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 | 0.023 | 0.080 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.017 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.021 | 0.015 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.399 | 0.190 |
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".