Mediegrafi, kosmopolitisk identitet og globalisering:\nHvordan opplever fire individer fra ulike generasjoner deres egen mediebruk sett i lys av kosmopolitisk identitet?
Bibliographic record
Abstract
Terhi Rantanen forsket på globalisering og brukte mediegrafi som en forskningsmetode for å bli kjent med globaliseringens påvirkninger på individer og vise versa. Soilikki Vettenranta mener at globalisering kan bidra til kosmopolitisk identitet. Forskningsspørsmålet i denne artikkelen er: Hvordan opplever fire individer fra ulike generasjoner deres egen mediebruk sett i lys av kosmopolitisk identitet? Denne artikkelen undersøker informantene i min mediegrafi sine opplevelser og tanker om identitet, globale mediehendelser og deres mediebruk. De viktigste temaene er hvordan min egen mediegrafi knyttes til globalisering og kosmopolitisk identitet. Et funn fra undersøkelsen er at den kosmopolitiske identitetsfølelsen nødvendigvis ikke blir sterkere jo yngre personen er. Rantanens mediegrafiske metode er aktuell i dag fordi individer lærer fellestrekk, skiller og ulikheter mellom generasjonene.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.044 | 0.009 |
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".