living-with-machines / accidents-interactive Goto Github PK
View Code? Open in Web Editor NEWThis is the “accidents interactive” for the Living with Machines exhibit at Leeds City Museum 2022–23.
This is the “accidents interactive” for the Living with Machines exhibit at Leeds City Museum 2022–23.
Including all requirements, all notebooks must be fully offline.
Showstopper
Nice to have
/
at a given timeout.Test
I hope people enjoy this one!
It’d be great if we could list all the sites on the page so people have more chance of guessing things right. Ideally also with a version of the explanatory text from the Zooniverse task?
MANUFACTURING: including factories, mills, workshops, works
EXTRACTIVE INDUSTRY: including mines, quarries, pits, collieries
RAIL: all railway-related locations including train stations, track, rail yards
ROAD: all road-related locations and machines including trams, steamrollers, bicycles
WATER TRANSPORT: all inland, coastal and marine locations including ports, docks, canals, rivers
DOMESTIC: including houses, yards
AGRICULTURAL: including farms
AIR: including balloons, aeroplanes
OTHER
There was also 'not enough information to know'.
commentID 3900642
to "This page is a feast. First a servant putting coal on a fire was severely injured by an explosion - perhaps caused by unexploded dynamite inside a shot hole in a piece of coal. Second, 2 passengers survived unharmed in the flight of a balloon which had a continuous series of near-fatal accidents. Third, survivors of the sinking of the SS America were shipwrecked again in the SS Senegal on Gran Canaria."Current text:
Where did newspapers report accidents involving machinery? We asked online volunteers to tag articles from selected regional newspapers. Explore our early results.
Change to:
Where did newspapers report accidents involving machinery? We asked online volunteers to tag articles from selected regional newspapers. Explore the results.
https://www.zooniverse.org/lab/9943/workflows/12264
Call to action: classify type of accident - industrial, transport or other, and optionally 'Draw an outline around each article that mentions a specific accident involving machinery.'
Images retired: 1,099 / 1,099
Subject set: mini_003 (#79477)
https://www.zooniverse.org/lab/9943/workflows/18831
Call to action: 'how many specific victims are mentioned' etc
Retirement limit: 2
Images retired: 1,794 / 1,794
Subject sets: Dynamic set accidents for workflow 21525 (#105221); SingleArticlesMentioningAccidents (#78831); Subset of Accidents II (#102701) and Accidents II - engine (#102709) (#103618)
https://www.zooniverse.org/lab/9943/workflows/21525
Call to action 'Where did accidents involving machinery happen?'
Retirement limit: 4
Images retired: 1,794 / 1,794
Subject sets: Dynamic set accidents for workflow 21525 (#105221); SingleArticlesMentioningAccidents (#78831); Subset of Accidents II (#102701) and Accidents II - engine (#102709) (#103618)
Find stories about accidents involving machinery #20921
Call to action: 'Do one or more articles in this image mention a specific accident involving machinery?'
Retirement limit: 5
Images retired: 2,405 / 2,405
Subject sets: Accidents II (#102701); Accidents II - engine (#102709)
Blank workflow, used for testing
Original text:
Who was affected by accidents?
Who was affected by accidents involving machinery? We gathered data via a crowdsourcing task to plot age and gender distributions.
Press different decades above to see different results.
Potential update:
Who was affected by accidents involving machinery?
We asked online volunteers to note the age and gender of people mentioned in newspaper articles about accidents involving machines.
Tap a decade to see sample results.
Two issues come to mind. Firstly, our numbers are (currently) sadly tiny! (We really need to emphasise that this is live data and will get more accurate over time, and use terms like ‘indicative’ as well as ‘sample’.)
Secondly, I had to peer a bit to see what the labels said.
So - could we take out the numbers affected, and just have big labels saying girls, women, men, boys above the relevant bars? In about the same font size as the ‘We gathered data’ text?
To Do after our review today...
It looks like the longest comment is the one that begins 'This page is a feast'.
‘Select a particular place to view details’ - perhaps this needs to be set up more like:
‘The chart [timeline] shows the total number of accidents reported in our sample over time. Select a place to see how local reports contributed to the total'.
Or 'Select a place to see how the number of reports changed by location.’
As we don't (yet) have enough data to really make the map work, I’m wondering if we should swap it out. At this stage of sampling it just shows which regions we selected newspapers from.
But we could swap it for participant comments?
‘Online volunteers read thousands of articles to create this dataset. Comments they made on the articles helped shape this exhibition. We’ve shared some here for a sense of what they read’
Display sample comments in a two column layout of article date and volunteer comment - if possible linked to the place chosen?
Article date
1 May 1839
Volunteer comment: Of course the death of a teenager crawling around under a machine while it was working was "accidental"!
Specifically usernames who contributed to this project, for the:
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