Beachcomber:Rhythms of the Coast: Reframing the effects of the deindustrialisation of former mining communities through a psychogeographic and photographic exploration of traditionally associated seaside towns of the North East of England
Bibliographic record
Abstract
This practice-based research concentrates on seven North Eastern seaside resorts (Scarborough, Bridlington, Cleethorpes, Filey, Hornsea, Skegness and Seaham). Through the utilisation of documentary photography and psychogeographic walking the research aims in reconnecting the contemporary seaside experience to its historical links with the coal mining industry and the working-class community of the region. The seaside space emerged as a space of leisure during the early 19th century through the annual visits of the industrial workers providing an escape from their working conditions for them and their families. The combination of deindustrialisation in the region and the rise of holidays abroad has disrupted the patterns of leisure and work in the North of England during the 1960s onwards. However, the notion of going on trips to the seaside resorts has remained an ongoing part of working-class culture. The research sets out to explore how can the concept of deindustrialisation be reconsidered through a photographic psychogeographic inquiry into sites of leisure? In identifying the relationship seaside resorts had with the coal mining industry, the utilisation of documentary photography and psychogeographic walking was crucial in establishing this faded relationship. Applying documentary photography to the research allowed for the evidencing of these sites in the present day focusing on the tangible traces of industrial working-class culture left behind; the images were created as part of psychogeographic walking strategies. This process is further expanded upon through the collation and examination of communicative memories of those associated with the coal mining industry during time spent together at the seaside and how these memories shaped an important aspect of the collective memory of the coal mining industry. The seaside landscape prompts remembrance of the past through a nostalgic lens, indicating times of joy and remembrance. In this research, the counter to nostalgia can be described as a social haunting of the past that prompts/evokes a lament and mourning regarding the loss of the coal mining industry and the effects of deindustrialisation. The outcome of the research argues for consideration into situating the seaside industry within the concept of deindustrialisation, as creatively explored through five photobooks.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.010 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".