Interkulturell bildpedagogik : en studie om inkludering, mångkulturalitet och identitetsskapande i bildundervisning
Bibliographic record
Abstract
Mot bakgrund av globaliseringen, vart mangkulturella samhalle och den visuella kulturen som kommit att spela allt storre roll i vara vardagliga liv synliggor studien vikten av att utveckla interkulturella metoder for larande inom det bildpedagogiska faltet. Sverige ligger efter lander som Storbritannien, USA och Canada dar forskning och utveckling inom bildamnen med mangkultur, mangfald och identitet i fokus pagatt under langre tid. Da den forskning pa omradet som finns i Sverige mestadels behandlar interkulturell pedagogik i allmanhet undersoker studien hur interkulturell pedagogik kan appliceras specifikt pa bildamnet. Utifran en faltstudie i tva mangkulturella skolor undersoks pa vilka satt ett interkulturellt perspektiv kan anvandas i bildundervisning och hur man kan skapa inkluderande bildundervisning genom interkulturell pedagogik. Faltstudien bearbetas och diskuteras utifran teorier om interkulturell pedagogik, kritisk pedagogik, visuell kultur och identitetsskapande. Resultatet av undersokningen ger flera exempel pa interkulturell och inkluderande bildundervisning, som man skulle kunna arbeta vidare med. Studien visar bade likheter och skillnader mellan de tva skolorna men illustrerar framforallt hur mangkulturalitet kan vara olika. I vidare forskning skulle det vara intressant att se pa mangkulturalitet utifran teorier om intersektionalitet, vilket skulle betyda att studera hur faktorer som klass och genus spelar roll i hur mangkulturalitet skapas, struktureras och uppfattas.
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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 | 0.012 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.013 | 0.011 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".