I think everybody has done it before. At least for me it happens naturally. Either I look to my upper left or right corners to recall something, or just straight look up.
Is there a biological explanation for this? or we do it because we grew up seeing other people doing it?
TLDR; Sri Lankan movies, songs, plays, art, etc. need to be properly digitally archived at its highest possible quality, properly catalogued with all the metadata.
Tissa Nagodavithana (ති.නා) was the OG film preservationist in SL. One time a film director contemporary to ති.නා shared that ති.නා used to visit veteran film producers' homes asking for movies to preserve and in some cases he found drums of said movies neglected in their garages and attics, as archiving wasn't really a priority back then. ති.නා did his best to preserve them. Much of the old movies we saw on TV growing up, was possible largely due to his efforts.
Maybe I am not very tech-savvy, but I cannot find any Sri Lankan movies on the internet with reasonable resolution. Most of them are low-quality clips on Youtube (often 480p or less).
I would assume that the Sri Lanka Film Corporation, and the SL Broadcasting Corporation should have the originals of the movies and songs respectively.
Sri Lanka was known for archiving since the beginning. In the digital age, it seems like we take everything for granted.
If there is an ongoing project already published on the internet, I would love to see it.
I'd also like to know everyone's opinion!
Cheers
I think everybody has done it before. At least for me it happens naturally. Either I look to my upper left or right corners to recall something, or just straight look up.
Is there a biological explanation for this? or we do it because we grew up seeing other people doing it?
I think everybody has done it before. At least for me it happens naturally. Either I look to my upper left or right corners to recall something, or just straight look up.
Is there a biological explanation for this? or we do it because we grew up seeing other people doing it?
Hi All,
I am a graduate student here. I am also a photographer for more than 10 years and I am really passionate about automotive photography (especially classic cars).
I've seen several cool classic cars driving around campus and I was hoping to link up with them. You could DM me here or on Instagram (my IG handle is in my bio).
Cheers!
දවස් කිහිමයකට පෙර පහත විද්යාත්මක ලිපිය මවිසින් කියවන ලදි. එම ලිපියෙන් දක්වන්නේ ඡන්දදායකයන්ගේ පැමිණීම සහ එම ඡන්ද කොට්ටාශය ජයග්රහණය කරනු ලබන අපේක්ෂකයා විසින් රැස් කරගත් ඡන්ද පංගුව ප්රස්ථාරගත කළ විට සංක්යානය අනුව ඡන්ද වංචා (උදා. හොර ඡන්ද දැමීම) ඉස්මතු කරගත හැකි බවය. අසාමාන්ය ලෙස අධික ඡන්දදායක පැමිණීමක් වාර්ථා වීමත්, එම පිරිසෙන් අති බහුතරයක් එක් අපේක්ෂකයකුට ඡන්දය දැමීමත්, යථොක්ත ප්රස්ථාරයේ දකුණු ඉහල කෙළවරින් මතු වීමට පටන් ගනී. ඡන්ද වංචා සිද්ධ වුනැයි පිළිගැනෙන ලෝකයේ ඇතැම් සත්ය උදාහරණ එම ලිපිහි සවිස්තරාත්මකව දක්වා ඇත. ඒ අනුව ලංකාවේ දත්ත පදනම් කරගෙන එවැනි ප්රස්ථාරයක් මවිසින් ගොඩනගන ලදි.
ලිපිය: P. Klimek, Y. Yegorov, R. Hanel, & S. Thurner, Statistical detection of systematic election irregularities, Proc. Natl. Acad. Sci. U.S.A. 109 (41) 16469-16473, https://doi.org/10.1073/pnas.1210722109 (2012).
දත්ත + CRAN Package: https://doi.org/10.32614/CRAN.package.SLPresElection
මෘදුකාංග: RStudio
එක් එක් ප්රස්ථාරයට ඉහළින් ඇත්තේ ජනාධිපතිවරණය පැවැත්වූ අවුරුද්ද සහ ඉන් ජයග්රහණය කළ අපේක්ෂකයායි.
තැපැල් ඡන්ද: වෙනම ම සලකුණු කර ඇත. මක් නිසාද යත්, තැපැල් ඡන්ද දායකයන්ගේ පැමිණීම සාමාන්ය ඡන්ද දායකකුගේ පැමිණීම ට වඩා වෙනස් බැවින් ය. සමහර අවුරුදු වල තැපැල් ඡන්ද දායකයින්ගේ දත්ත වල අඩුපාඩු තිබු බැවින් එම අවුරුදු වල ප්රස්ථාර වල තැපැල් ඡන්ද වල දත්ත පෙන්වා නැත.
අවතැන්වූවන් ගේ ඡන්ද: 2009 දී ස්විවිල් යුද්ධය අවසන් වී ඉන් අවතැන් වූවන්ට 2010 ජනාධිපතිවරණයේ දී ඡන්ද ප්රකාශ කිරීමට ඉඩ ලැබුණු බව මගේ මතකයි. ඔවුන්ගේ ඡන්ද වෙනම පෙන්වා ඇත.
සමස්ථ දිස්ත්රික්ක ඡන්ද ප්රතිපල වෙනම දක්වා ඇත.
I read the following article which discusses how Voter turnout vs. Vote share of the winner can act as a fingerprint to detect election fraud (abnormally high turnout AND vote share will show up on the upper right corner. Examples included in the paper). I decided to try it out on Sri Lankan presidential election data.
>P. Klimek, Y. Yegorov, R. Hanel, & S. Thurner, Statistical detection of systematic election irregularities, Proc. Natl. Acad. Sci. U.S.A. 109 (41) 16469-16473, https://doi.org/10.1073/pnas.1210722109 (2012).
Data + CRAN Package: https://doi.org/10.32614/CRAN.package.SLPresElection
Tools: RStudio
The year on top of each plot is the year in which the presidential election was held. The name within parenthesis is the winning candidate. I classified different data types as they can have different circumstances.
Postal district votes: These results have very high turnout rates because the voters who cannot cast their vote on the day of the election due to being involved in the election duties, or in essential services including the military and police. In Sri Lankan elections, these results usually come out first and are seen as a strong predictor as to who will win the election.
Displaced district results: I believe these were special electorate cases as a result of the civil war that ended in 2009, leaving several thousand people displaced.
Final district results: This is the aggregate of all underlying electorates within a respective district.
