Bibliographic record
Abstract
Nora Berning, eine aktive Journalistin und derzeit PhD-Studentin an der Faculty of Information and Media Studies (FIMS) der Western University Canada, nimmt in ihrer Magisterarbeit, die sie im Rahmen des Erasmus Mundus Master Programms vorlegte, eine qualitative Inhaltsanalyse deutschsprachiger Reportagen vor. Als Rahmen fur ihre Analysen dienen ihr einige Grundkategorien der Narratologie; ihr Korpus sind die 25 Reportagen, die fur den namhaften deutschen Reportagepreis „Beste Reportage 2009“ nominiert waren (S. 60). Wie sie hervorhebt, handelt es sich dabei um Texte, die in verschiedenen Zeitschriften, Zeitungen und Beilagen (wie dem Zeit Magazin und dem Magazin der Suddeutschen Zeitung) erschienen sind, so dass ein breites inhaltliches und regionales Spektrum abgedeckt wird.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.009 | 0.018 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.047 | 0.004 |
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; both teacher heads agree on what is shown here.
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".