Historical Documentary Gender Identities in Goumenissa of Greece Multimodal Research Material
Bibliographic record
Abstract
The subject of this research proposal concerns the gender representations of women in the border town of Goumenissa, a regional unit of Kilkis in Greece, as these representations are constructed on their speech. Goumenissa has been a meeting place of different origin communities, such as local, Pontiac and east Rumelia populations, after the Turco-Greek exchange of populations in Greek national history during the 1920s.The aim of this on-site research is to investigate and map out the status of the refugee and local women of Goumenissa, in years of turbulence and intensity. The research questions concern three basic thematic units: House working - Working outside, the house - Education/family constraints. What is their insight into family relationships, tradition, education and participation in production? How did they define themselves and were defined by others throughout the historical and social conditions? What kind of imprints did these conditions leave on them? How do they continue today? This on-site historical research was based on individual or group interviews and on professional filmmaking in the area of Goumenissa by the two educators Kiouzepi & Kavallari. The outcome-deliverable has been a historical documentary based on the primary original material coming from the women’s interviews that could be used as a multimodal material within an interdisciplinary approach in teaching social subjects. The theoretical axes of the research are the history of gaze, the cultural studies, the socio-semiotics and the expansion of sources in the local and oral historiography.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".