Emakumeen presentzia euskal hedabideetan: GMMP monitorizazioaen 2020ko emaitzak Hego Euskal Herrian
Bibliographic record
Abstract
1995eko urtarrilaren 18an, lehenengo aldiz, emakumeek hedabideetan zuten errepresentazioa neurtu zuen World Association for Christian Communication (WACC) elkarteak koordinatutako Global Media Monitoring Project delakoak, MediaWatch Canada elkartearekin batera. Harrezkero, bost urtero egin ohi da monitorizazio globala. Espainiako Estatuko erakundeek 2000. urteko neurketan parte hartu zuten lehenengo aldiz; lehenengo edizio hartan, 71 herritako zenbait ikertzailek hartu zuten parte, eta gaur egun 100dik gora dira herri parte-hartzaileak. Euskal Herritik 2015ean saiatu ginen neurketa sarean sartzen, baina ez ginen garaiz heldu. 2020an, berriz, lortu dugu: lehenengo aldiz, EAEko eta Nafarroako komunikabideak sartu dira emakumeen hedabideetako presentzia neurtzea xede duen monitorizazio globalean, beti ere GMMP Spain delakoaren antolaketak ezarritako irizpideen arabera. Hala ere, oinarri horietatik harago joanda, datu bilketan Euskal Herriko lagin oso bat aztertzea erabaki genuen —datu horiek ikerketa ofizialean sartuko ez diren arren, ikerketa orokorrarekin alderatu ahal izateko asmoz bildu genituen—.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.005 |
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".