Imaginaries of Lifeboating in the BBC Series Saving Lives at Sea : Narrative and Visual Constructions of Danger and Heroism in Historical Perspective
Bibliographic record
Abstract
Abstract: Since 2016, the BBC has broadcast nine seasons of the documentary series Saving Lives at Sea , which follows the volunteers of the Royal National Lifeboat Institution (RNLI). That institution, founded in 1824, is charged with saving lives at sea in the UK and Ireland. Representations of lifesaving at sea in Saving Lives at Sea are an opportunity to examine the ways in which the imaginaries of danger and heroism present in the series interact with the history of the institution. The imaginaries of lifesaving at sea operate both by integrating themselves in the founding imaginary of the RNLI and by broadening its scope. The institution, through a process of bricolage, uses and adapts to a wide variety of new activities a founding imaginary that is an important source of legitimacy and meaning. The central element of the RNLI’s imaginary functions by integrating the variety of situations encountered by lifeboat crews at sea into the shared situation type of lifesaving at sea. Abstract: Depuis 2016, la BBC a diffusé neuf saisons de la série documentaire Saving Lives at Sea , qui suit les bénévoles de la Royal National Lifeboat Institution (RNLI). Fondée en 1824, cette institution est chargée de sauver des vies en mer au Royaume-Uni et en Irlande. Les représentations du sauvetage en mer dans Saving Lives at Sea offrent une occasion d’examiner la manière dont les imaginaires du danger et de l’héroïsme présents dans la série interagissent avec l’histoire de l’institution. Les imaginaires du sauvetage en mer opèrent à la fois en s’intégrant à l’imaginaire fondateur de la RNLI et en élargissant sa portée. En effet, l’institution, par un processus de bricolage, utilise et adapte à une grande variété d’activités nouvelles un imaginaire fondateur qui constitue une source importante de légitimité et de sens. L’élément central de l’imaginaire de la RNLI fonctionne en intégrant la diversité des situations rencontrées par les équipages des bateaux dans une situation commune, celle du sauvetage en mer.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.029 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".