Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
Repository of the University of Ljubljana
Open Science Slovenia
Open Science
DiKUL
slv
|
eng
Search
Browse
New in RUL
About RUL
In numbers
Help
Sign in
Details
Reprezentacija žensk v sodobnih pravljicah : magistrsko delo
ID
Pačnik, Mateja
(
Author
),
ID
Švab, Alenka
(
Mentor
)
More about this mentor...
URL - Presentation file, Visit
http://dk.fdv.uni-lj.si/magistrska_dela_2/pdfs/mb22_pacnik-mateja.pdf
Image galllery
Language:
Slovenian
Keywords:
spolni stereotipi
,
patriarhalnost
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
FDV - Faculty of Social Sciences
Place of publishing:
Ljubljana
Publisher:
[M. Pačnik]
Year:
2014
Number of pages:
100 str.
PID:
20.500.12556/RUL-30168
UDC:
316.647.8:821-34(043.3)
COBISS.SI-ID:
32885341
Publication date in RUL:
06.01.2015
Views:
3915
Downloads:
300
Metadata:
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
PAČNIK, Mateja, 2014,
Reprezentacija žensk v sodobnih pravljicah : magistrsko delo
[online]. Master’s thesis. Ljubljana : M. Pačnik. [Accessed 20 July 2025]. Retrieved from: http://dk.fdv.uni-lj.si/magistrska_dela_2/pdfs/mb22_pacnik-mateja.pdf
Copy citation
Share:
Similar documents
Similar works from RUL:
Using synthetic data to train convolutional neural networks for the case of hand detection
Computer vision on embedded devices for natural user interfaces
Long-term object tracking using region proposals
Segmentacija rok za obogateno resničnost
Melt pool detection at wire arc welding
Similar works from other Slovenian collections:
Person age estimation based on digital images using convolutional neural networks
Development of an advanced system for lane detection on GPU platforms
Food recognition from digital images using convolutional neural networks
Time series classification based on convolutional neural networks
The preparation of photos' dataset and its classification using deep neural networks
Back