Machine Generated Data
Tags
Clarifai
created on 2019-06-06
Imagga
created on 2019-06-06
Google
created on 2019-06-06
Microsoft
created on 2019-06-06
design | 85.5 | |
| ||
abstract | 59.2 | |
| ||
parallel | 57.9 | |
| ||
rectangle | 55.6 | |
| ||
screenshot | 46.2 | |
|
Color Analysis
Categories
Imagga
text visuals | 97.3% | |
| ||
paintings art | 2% | |
|
Captions
Microsoft
created on 2019-06-06
a screenshot of a cell phone | 83.1% | |
| ||
a screenshot from a cell phone | 76.3% | |
| ||
a screenshot of a cell phone screen with text | 76.2% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43316960/272,70,52,11/full/0/native.jpg)
Expenditure
![](https://ids.lib.harvard.edu/ids/iiif/43316960/220,526,88,15/full/0/native.jpg)
ADMINISTRATIVE
![](https://ids.lib.harvard.edu/ids/iiif/43316960/111,513,41,12/full/0/native.jpg)
NUMBER
![](https://ids.lib.harvard.edu/ids/iiif/43316960/65,512,43,14/full/0/native.jpg)
AVERAGE
![](https://ids.lib.harvard.edu/ids/iiif/43316960/310,527,63,14/full/0/native.jpg)
DIVISIONS.
![](https://ids.lib.harvard.edu/ids/iiif/43316960/249,69,20,13/full/0/native.jpg)
and
![](https://ids.lib.harvard.edu/ids/iiif/43316960/195,39,41,13/full/0/native.jpg)
Labour
![](https://ids.lib.harvard.edu/ids/iiif/43316960/264,28,40,13/full/0/native.jpg)
British
![](https://ids.lib.harvard.edu/ids/iiif/43316960/359,69,64,12/full/0/native.jpg)
Unemployment
![](https://ids.lib.harvard.edu/ids/iiif/43316960/339,69,17,12/full/0/native.jpg)
the
![](https://ids.lib.harvard.edu/ids/iiif/43316960/430,514,82,13/full/0/native.jpg)
UNEMPLOYMENT
![](https://ids.lib.harvard.edu/ids/iiif/43316960/353,31,35,13/full/0/native.jpg)
Trade
![](https://ids.lib.harvard.edu/ids/iiif/43316960/277,513,20,13/full/0/native.jpg)
NOT
![](https://ids.lib.harvard.edu/ids/iiif/43316960/214,70,35,12/full/0/native.jpg)
Income
![](https://ids.lib.harvard.edu/ids/iiif/43316960/213,69,239,13/full/0/native.jpg)
Income and Expenditure of the Unemployment Fund.
![](https://ids.lib.harvard.edu/ids/iiif/43316960/426,67,26,12/full/0/native.jpg)
Fund.
![](https://ids.lib.harvard.edu/ids/iiif/43316960/202,525,171,15/full/0/native.jpg)
BY ADMINISTRATIVE DIVISIONS.
![](https://ids.lib.harvard.edu/ids/iiif/43316960/544,679,23,12/full/0/native.jpg)
13-8
![](https://ids.lib.harvard.edu/ids/iiif/43316960/265,27,124,14/full/0/native.jpg)
British Board of Trade
![](https://ids.lib.harvard.edu/ids/iiif/43316960/66,511,447,15/full/0/native.jpg)
AVERAGE NUMBER OF DAYS ON BENEFIT AND NOT ON BENEFIT PER SPELL OF UNEMPLOYMENT
![](https://ids.lib.harvard.edu/ids/iiif/43316960/305,29,38,13/full/0/native.jpg)
Board
![](https://ids.lib.harvard.edu/ids/iiif/43316960/317,513,41,13/full/0/native.jpg)
BENEFIT
![](https://ids.lib.harvard.edu/ids/iiif/43316960/169,513,26,13/full/0/native.jpg)
DAYS
![](https://ids.lib.harvard.edu/ids/iiif/43316960/253,514,23,12/full/0/native.jpg)
AND
![](https://ids.lib.harvard.edu/ids/iiif/43316960/359,514,21,12/full/0/native.jpg)
PER
![](https://ids.lib.harvard.edu/ids/iiif/43316960/328,622,24,12/full/0/native.jpg)
8-0
![](https://ids.lib.harvard.edu/ids/iiif/43316960/380,514,33,14/full/0/native.jpg)
SPELL
![](https://ids.lib.harvard.edu/ids/iiif/43316960/155,514,14,11/full/0/native.jpg)
OF
![](https://ids.lib.harvard.edu/ids/iiif/43316960/300,514,17,12/full/0/native.jpg)
ON
![](https://ids.lib.harvard.edu/ids/iiif/43316960/405,45,54,11/full/0/native.jpg)
Insuranee
![](https://ids.lib.harvard.edu/ids/iiif/43316960/273,639,23,12/full/0/native.jpg)
6:4
![](https://ids.lib.harvard.edu/ids/iiif/43316960/238,40,58,16/full/0/native.jpg)
Exehangres
![](https://ids.lib.harvard.edu/ids/iiif/43316960/325,69,11,11/full/0/native.jpg)
of
![](https://ids.lib.harvard.edu/ids/iiif/43316960/196,36,208,16/full/0/native.jpg)
Labour Exehangres and Unemployment
![](https://ids.lib.harvard.edu/ids/iiif/43316960/489,661,24,12/full/0/native.jpg)
5-8
![](https://ids.lib.harvard.edu/ids/iiif/43316960/544,550,24,13/full/0/native.jpg)
7-0
![](https://ids.lib.harvard.edu/ids/iiif/43316960/165,600,23,12/full/0/native.jpg)
6-2
![](https://ids.lib.harvard.edu/ids/iiif/43316960/201,528,18,12/full/0/native.jpg)
BY
![](https://ids.lib.harvard.edu/ids/iiif/43316960/219,639,243,14/full/0/native.jpg)
5:9 6:4 DAYS
![](https://ids.lib.harvard.edu/ids/iiif/43316960/380,621,24,13/full/0/native.jpg)
7-8
![](https://ids.lib.harvard.edu/ids/iiif/43316960/219,639,21,11/full/0/native.jpg)
5:9
![](https://ids.lib.harvard.edu/ids/iiif/43316960/96,620,363,19/full/0/native.jpg)
DAvS 6:7 8-0 7-8 7-L
![](https://ids.lib.harvard.edu/ids/iiif/43316960/543,561,29,11/full/0/native.jpg)
DAVS
![](https://ids.lib.harvard.edu/ids/iiif/43316960/97,620,24,12/full/0/native.jpg)
6:7
![](https://ids.lib.harvard.edu/ids/iiif/43316960/276,105,21,6/full/0/native.jpg)
ohe
![](https://ids.lib.harvard.edu/ids/iiif/43316960/436,622,23,12/full/0/native.jpg)
7-L
![](https://ids.lib.harvard.edu/ids/iiif/43316960/97,630,27,10/full/0/native.jpg)
DAvS
![](https://ids.lib.harvard.edu/ids/iiif/43316960/485,103,69,13/full/0/native.jpg)
EFSEHRE
![](https://ids.lib.harvard.edu/ids/iiif/43316960/69,32,542,837/full/0/native.jpg)
British Board of Trade
Labour Exehanges and Unemployment Insurance
Income and Expenditure of the Unemployment Fund.
yTS o
uNEMMELOYENT
R
1913-
Sa40.800
S240,0004
220.000
22.00
00.000
100.000
ap.000
.003
6.008
n 000
40,000
na.000
20 000
on 000
po00
O000
NO.000
60 00
wn.000
40,000
20.000
OCT
DEC
CT
FEB MAR
APR
MAY
JUNE
JULY
AUG SEPT
NOV
SEPT
NOV
JAN
JULY
AUC
AVERAGE NUMBER OF DAYS ON BENEFIT AND NOT ON BENEFIT PER SPELL OF UNEMPLOYMENT
BY ADMINISTRATIVE DIVISIONS.
6-7
DAYS
DAYS
DAYS
5.9
DAYS
6.4
DAYS
8.9
DAYS
THE
LONDON
SCOTLAND
YORKSHIRE
EASTERN NORTHERN WESTERN MIDLANDS MIDLANDS WESTERN
KINGDOM
WALES
IRELAND
DAYS ON BENEFIT
DAYS UNEMPLOVED BUT NOT ON BENEFIT
6-2
![](https://ids.lib.harvard.edu/ids/iiif/43316960/270,32,38,15/full/0/native.jpg)
British
![](https://ids.lib.harvard.edu/ids/iiif/43316960/310,33,33,14/full/0/native.jpg)
Board
![](https://ids.lib.harvard.edu/ids/iiif/43316960/344,34,14,13/full/0/native.jpg)
of
![](https://ids.lib.harvard.edu/ids/iiif/43316960/358,33,33,17/full/0/native.jpg)
Trade
![](https://ids.lib.harvard.edu/ids/iiif/43316960/200,43,40,13/full/0/native.jpg)
Labour
![](https://ids.lib.harvard.edu/ids/iiif/43316960/241,44,59,15/full/0/native.jpg)
Exehanges
![](https://ids.lib.harvard.edu/ids/iiif/43316960/301,46,21,12/full/0/native.jpg)
and
![](https://ids.lib.harvard.edu/ids/iiif/43316960/325,46,80,17/full/0/native.jpg)
Unemployment
![](https://ids.lib.harvard.edu/ids/iiif/43316960/408,48,54,14/full/0/native.jpg)
Insurance
![](https://ids.lib.harvard.edu/ids/iiif/43316960/218,73,34,13/full/0/native.jpg)
Income
![](https://ids.lib.harvard.edu/ids/iiif/43316960/275,72,53,15/full/0/native.jpg)
Expenditure
![](https://ids.lib.harvard.edu/ids/iiif/43316960/343,72,16,13/full/0/native.jpg)
the
![](https://ids.lib.harvard.edu/ids/iiif/43316960/430,70,27,14/full/0/native.jpg)
Fund.
![](https://ids.lib.harvard.edu/ids/iiif/43316960/135,105,30,14/full/0/native.jpg)
yTS
![](https://ids.lib.harvard.edu/ids/iiif/43316960/166,104,10,12/full/0/native.jpg)
o
![](https://ids.lib.harvard.edu/ids/iiif/43316960/360,108,53,7/full/0/native.jpg)
uNEMMELOYENT
![](https://ids.lib.harvard.edu/ids/iiif/43316960/475,106,69,17/full/0/native.jpg)
R
![](https://ids.lib.harvard.edu/ids/iiif/43316960/404,132,21,10/full/0/native.jpg)
1913-
![](https://ids.lib.harvard.edu/ids/iiif/43316960/69,140,31,10/full/0/native.jpg)
Sa40.800
![](https://ids.lib.harvard.edu/ids/iiif/43316960/580,141,31,10/full/0/native.jpg)
S240,0004
![](https://ids.lib.harvard.edu/ids/iiif/43316960/75,162,24,8/full/0/native.jpg)
220.000
![](https://ids.lib.harvard.edu/ids/iiif/43316960/585,162,25,8/full/0/native.jpg)
22.00
![](https://ids.lib.harvard.edu/ids/iiif/43316960/588,181,22,9/full/0/native.jpg)
00.000
![](https://ids.lib.harvard.edu/ids/iiif/43316960/75,182,25,8/full/0/native.jpg)
100.000
![](https://ids.lib.harvard.edu/ids/iiif/43316960/588,201,22,9/full/0/native.jpg)
ap.000
![](https://ids.lib.harvard.edu/ids/iiif/43316960/76,202,24,8/full/0/native.jpg)
.003
![](https://ids.lib.harvard.edu/ids/iiif/43316960/76,222,23,9/full/0/native.jpg)
6.008
![](https://ids.lib.harvard.edu/ids/iiif/43316960/589,222,10,7/full/0/native.jpg)
n
![](https://ids.lib.harvard.edu/ids/iiif/43316960/596,222,14,7/full/0/native.jpg)
000
![](https://ids.lib.harvard.edu/ids/iiif/43316960/587,241,21,9/full/0/native.jpg)
40,000
![](https://ids.lib.harvard.edu/ids/iiif/43316960/587,260,21,9/full/0/native.jpg)
na.000
![](https://ids.lib.harvard.edu/ids/iiif/43316960/77,262,12,7/full/0/native.jpg)
20
![](https://ids.lib.harvard.edu/ids/iiif/43316960/588,281,10,7/full/0/native.jpg)
on
![](https://ids.lib.harvard.edu/ids/iiif/43316960/77,282,24,8/full/0/native.jpg)
po00
![](https://ids.lib.harvard.edu/ids/iiif/43316960/589,299,20,9/full/0/native.jpg)
O000
![](https://ids.lib.harvard.edu/ids/iiif/43316960/80,301,20,8/full/0/native.jpg)
NO.000
![](https://ids.lib.harvard.edu/ids/iiif/43316960/79,322,10,7/full/0/native.jpg)
60
![](https://ids.lib.harvard.edu/ids/iiif/43316960/87,322,11,7/full/0/native.jpg)
00
![](https://ids.lib.harvard.edu/ids/iiif/43316960/588,340,20,7/full/0/native.jpg)
wn.000
![](https://ids.lib.harvard.edu/ids/iiif/43316960/77,358,25,11/full/0/native.jpg)
20.000
![](https://ids.lib.harvard.edu/ids/iiif/43316960/492,390,17,9/full/0/native.jpg)
OCT
![](https://ids.lib.harvard.edu/ids/iiif/43316960/541,390,16,9/full/0/native.jpg)
DEC
![](https://ids.lib.harvard.edu/ids/iiif/43316960/196,391,15,9/full/0/native.jpg)
CT
![](https://ids.lib.harvard.edu/ids/iiif/43316960/293,391,18,9/full/0/native.jpg)
FEB
![](https://ids.lib.harvard.edu/ids/iiif/43316960/317,391,18,9/full/0/native.jpg)
MAR
![](https://ids.lib.harvard.edu/ids/iiif/43316960/343,391,18,8/full/0/native.jpg)
APR
![](https://ids.lib.harvard.edu/ids/iiif/43316960/368,391,17,8/full/0/native.jpg)
MAY
![](https://ids.lib.harvard.edu/ids/iiif/43316960/390,391,21,8/full/0/native.jpg)
JUNE
![](https://ids.lib.harvard.edu/ids/iiif/43316960/415,391,21,8/full/0/native.jpg)
JULY
![](https://ids.lib.harvard.edu/ids/iiif/43316960/442,391,19,9/full/0/native.jpg)
AUG
![](https://ids.lib.harvard.edu/ids/iiif/43316960/465,391,21,9/full/0/native.jpg)
SEPT
![](https://ids.lib.harvard.edu/ids/iiif/43316960/516,391,20,8/full/0/native.jpg)
NOV
![](https://ids.lib.harvard.edu/ids/iiif/43316960/267,392,18,7/full/0/native.jpg)
JAN
![](https://ids.lib.harvard.edu/ids/iiif/43316960/144,393,15,7/full/0/native.jpg)
AUC
![](https://ids.lib.harvard.edu/ids/iiif/43316960/70,517,43,13/full/0/native.jpg)
AVERAGE
![](https://ids.lib.harvard.edu/ids/iiif/43316960/115,517,41,13/full/0/native.jpg)
NUMBER
![](https://ids.lib.harvard.edu/ids/iiif/43316960/158,517,14,13/full/0/native.jpg)
OF
![](https://ids.lib.harvard.edu/ids/iiif/43316960/173,517,26,13/full/0/native.jpg)
DAYS
![](https://ids.lib.harvard.edu/ids/iiif/43316960/199,517,17,14/full/0/native.jpg)
ON
![](https://ids.lib.harvard.edu/ids/iiif/43316960/218,518,40,13/full/0/native.jpg)
BENEFIT
![](https://ids.lib.harvard.edu/ids/iiif/43316960/257,518,23,12/full/0/native.jpg)
AND
![](https://ids.lib.harvard.edu/ids/iiif/43316960/281,518,21,13/full/0/native.jpg)
NOT
![](https://ids.lib.harvard.edu/ids/iiif/43316960/363,518,21,13/full/0/native.jpg)
PER
![](https://ids.lib.harvard.edu/ids/iiif/43316960/386,518,32,13/full/0/native.jpg)
SPELL
![](https://ids.lib.harvard.edu/ids/iiif/43316960/435,518,82,14/full/0/native.jpg)
UNEMPLOYMENT
![](https://ids.lib.harvard.edu/ids/iiif/43316960/205,528,19,16/full/0/native.jpg)
BY
![](https://ids.lib.harvard.edu/ids/iiif/43316960/225,528,87,18/full/0/native.jpg)
ADMINISTRATIVE
![](https://ids.lib.harvard.edu/ids/iiif/43316960/315,531,59,15/full/0/native.jpg)
DIVISIONS.
![](https://ids.lib.harvard.edu/ids/iiif/43316960/100,624,28,18/full/0/native.jpg)
6-7
![](https://ids.lib.harvard.edu/ids/iiif/43316960/225,643,20,13/full/0/native.jpg)
5.9
![](https://ids.lib.harvard.edu/ids/iiif/43316960/280,644,21,12/full/0/native.jpg)
6.4
![](https://ids.lib.harvard.edu/ids/iiif/43316960/100,716,27,18/full/0/native.jpg)
8.9
![](https://ids.lib.harvard.edu/ids/iiif/43316960/100,799,21,13/full/0/native.jpg)
THE
![](https://ids.lib.harvard.edu/ids/iiif/43316960/160,799,39,13/full/0/native.jpg)
LONDON
![](https://ids.lib.harvard.edu/ids/iiif/43316960/208,799,52,15/full/0/native.jpg)
SCOTLAND
![](https://ids.lib.harvard.edu/ids/iiif/43316960/316,800,52,15/full/0/native.jpg)
YORKSHIRE
![](https://ids.lib.harvard.edu/ids/iiif/43316960/153,812,53,18/full/0/native.jpg)
EASTERN
![](https://ids.lib.harvard.edu/ids/iiif/43316960/208,812,52,19/full/0/native.jpg)
NORTHERN
![](https://ids.lib.harvard.edu/ids/iiif/43316960/265,812,46,19/full/0/native.jpg)
WESTERN
![](https://ids.lib.harvard.edu/ids/iiif/43316960/316,812,52,19/full/0/native.jpg)
MIDLANDS
![](https://ids.lib.harvard.edu/ids/iiif/43316960/89,814,43,15/full/0/native.jpg)
KINGDOM
![](https://ids.lib.harvard.edu/ids/iiif/43316960/486,819,38,13/full/0/native.jpg)
WALES
![](https://ids.lib.harvard.edu/ids/iiif/43316960/538,819,44,16/full/0/native.jpg)
IRELAND
![](https://ids.lib.harvard.edu/ids/iiif/43316960/358,852,75,14/full/0/native.jpg)
UNEMPLOVED
![](https://ids.lib.harvard.edu/ids/iiif/43316960/441,854,26,11/full/0/native.jpg)
BUT
![](https://ids.lib.harvard.edu/ids/iiif/43316960/169,605,25,19/full/0/native.jpg)
6-2