“You Were Born with a Giant Silver Spoon in Your Mouth”: Geography, the Young, and Social Class in Finnish Films in the 2000s
Bibliographic record
Abstract
In several Finnish films of the 2000s, Finland is portrayed as divided geographically into two parts: the small urban area around Finland’s capital, Helsinki, in the south and the rural areas in the country’s north. This polarization frames conceptualizations of social class, particularly in films that depict young people leaving their homes. Forbidden Fruit (Kielletty hedelmä) and August (Elokuu) are examples of Finnish cinema in the 2000s that negotiate ideas about class and circulate this polarized imagination through geography. Both films depict the young leaving their homes and then clashing with a geographically marked border. The films are analyzed in the context of the neo-liberal success story which defines the ideal subject of contemporary society. The article argues that the cinematic journeys of the young show the power of geography in reproducing class structures.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.010 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".