100 år på havets botten : En jämförande tidningsstudie om minnet av Titanickatastrofen 1912
Bibliographic record
Abstract
The aim of this thesis is to see how the centenary of the Titanic disaster is observed in the cities Belfast, Southampton and Halifax. It also contains a Swedish perspective to the event. There is a part of the thesis which is focused on an analysis of what memorials and memories mean to the disaster and the survival of the very same. The main sources of the thesis have mostly been internet editions of newspapers from the cities mentioned above, but also the paper editions of two of the biggest Swedish newspapers. An analysis of these sources shows that the memory of the Titanic, and foremost its passengers and crew is still alive. The perished were honoured at the commemorations through denudations of new memorials and descendants who paid their respects. The analysis also shows that the memory of the Titanic and the identity it created are important elements, primarily in Southampton and Belfast. These two cities embrace their Titanic heritage by exhibitions, both permanent and temporary ones. The conclusion of the analysis is that the memories of the Titanic are observed in different ways depending of which city it is. Belfast is a lot about remembering the construction; Southampton remembers the departure and Halifax focus on the perished, although, all three cities honour the catastrophe and the victims. No matter how the centenary is respected, one can easily notice that the Titanic is remembered; the question now is if the ship of dreams is immortal or if the disaster one day will fade to oblivion?
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.052 | 0.013 |
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".