Centenary page help
This page acts as a basic index listing of the interviews in the centenary collection. Selecting the view button will take you to the relevant interview and transcription.
This website stores cookies for site personalization and analytics. Google analytics is used to generate statistics that describe how the site is used to inform the research institutions that fund this work. Permissions and setting can be adjusted at any time via the settings control.
This search allows you to search the text of the pdfs in the collection. It should be noted that interviewees were permitted to amend these transcripts, so they may differ from the Audio Visual record.
The full functionality of this system has not been set up, so it is not possible to filter by fields. Once a search result has been returned it is necessary to go back to the pdf, and repeat the search in the individual document.
This search function is still under development.
The Speech-to-text transcriptions do contain inaccuracies, which could not be amended during the course of the project. If your search does not return a result, it may be because of an error in the machine transcription, and not because the word does not appear in the site data. In this instance, it is advisable to try alternative words or spellings and/or search the pdf transcriptions.
Connected Histories of the BBC is a multimedia catalogue that requires current HTML5 and CSS capabilities that have not been detected in your browser.
Firefox, Chrome and Edge browsers are recomended. There are known issues with iOS devices and Safari that will be addressed before general release. You can dismiss this dialogue and continue if you wish.
The record list uploader populates a user's collection.
Records are collected using the collect button . The list of records can be dowloaded for sharing or later use using the export button .
Buttons for downloading and collecting are only enabled after records have been collected. Files are named ConnectedHistories.txt and are saved in the "Downloads" folder.
Collections of more than n records cannot be saved to your cookie. Download the collection before leaving the page if you with to preserve it for future use.
Collection files can be loaded via the settings dialogue.
This website was designed to work with HTML5 web browsers. Your web browser does not appear to support these features and may not operate as expected. Try Firefox or Chrome.
The pull down ‘Interviews’ menu lists all filtered search results. You can add these interviews to your ‘collection’ by selecting the ‘Add’ icon . This populates an exportable CSV file with the name of the interviewee, interview number and URL. Selecting the export button initiates saving the file, and the import button allows you to access previously saved ‘collections’.
The pull-down menu provides access to your ‘Added’ interviews. Selecting the export button initiates saving the file, and the import button allows you to access previously saved ‘Added collections’. export button initiates saving the file, and the import button allows you to access previously saved ‘Added collections’.
The audio waveform is divided into a ‘zoom’ view in orange at the top showing around 6 minutes of data; and a full view in grey at the bottom.
The clips button allows you to add clips from the waveform display, save them, and generate a URL for each.
Start and stop the audio/video, and toggle between a ‘Navigate’ mode and ‘Clip’ mode. An autoscroll facility can also be implemented from here.
In ‘Navigate’ mode, you can click on any word, and the playhead will move to that location. You can play the recording from that point and the highlighting of the associated word in the transcription will move with the speech. An orange box giving you the precise time location will also appear when a word is selected.
By clicking anywhere in the Speech-to-Text transcription you can select a Start point, and then an End point to identify a clip. You can then add a description or reference to a ‘note’ box. Once you have defined a clip, a ‘Save’ button will appear in the toolbar. Selecting this generates a unique URL that is saved to a CSV file, that can be viewed and exported via the ‘Clips’ manager.
The ‘Clips’ pulldown menu on the left will display all clips you have saved during the current session, either from the Speech-to-Text transcription or from the audio/visual waveform and any other interview you have worked with. The CSV button will download your clips as a csv file with details of the clip including a unique URL that sets the play head to the beginning of the clip and scrolls the page to ensure the waveform and toolbar is visible. The file will be called: ConnectedHistoriesAnnotations.csv.
The amount of memory space remaining in your browser cookie (where the clips are stored) will also appear. You can normally save approximately 40 annotations in any one session. If you run out of cookie space to store clips, exporting the CSV file will allow you to clear the browser memory by selecting the bin.
Below the toolbar will appear a list of all clips for this particular interview, including your notes and start and end times, with buttons to the right allowing you to ‘Play’, ‘Remove’ and ‘Show’ individual annotations. ‘Play’ will start the recording of the selection from the audio file, and the ‘Show’ button will bring up the shareable URL.
Search ‘People’, ‘Roles’ and ‘Subjects’. Results will appear below with the distribution of results between these categories; and below this, the results themselves+.
If no results are returned by your search text, try one of the other search options.
The options include a ‘Speech to Text Transcript Search’, which searches machine generated transcripts, or a pdf search through AToM.
The macroscope graph will appear below the faceted browsing menu and will respond to your selections. You can also select and zoom into any part of the graph along the X or Y axis, and the results below will change in response. Selecting any individual dot will reveal the name of the interviewee, in the bottom left, with a link to the interview page.
The toolbar allows you to change the colour palette, and to zoom in or out. The colour palettes are accessibility options designed for variation in visual perception. The palettes are the work of Paul Tol https://personal.sron.nl/~pault/. Palette colours can be customised using the swatches beside the collection filters.
Once changed, the selected colour palette will be applied to the macroscope graph and all other colour coded elements throughout the site.
This page has been designed as both an index page including listings for the seven collections in the archive, and as a search interface for working with specific collections.
Selecting the view button will take you to a search interface at the bottom of the page, opened to that collection.
The information button will opens the ‘Identity Statement’. Below this a search interface will appear, including both ‘search’ and ‘faceting/filter’ options. The default on this page (unlike the home page) is ‘filter’. All search facilities work in the same way as on the home page.
This page acts as a basic index listing of the interviews in the centenary collection. Selecting the view button will take you to the relevant interview and transcription.
You need to tick this box in order to access audio/video, speech-to-text transcriptions or legacy documents. The ‘Collection Note’, and ‘Collection Description’ tabs above provide general information about the collection and copyright details.
Once ticked, your choice will be preserved for the remainder of your session and is taken to reflect your agreement to the terms and conditions for all materials.
Populates an exportable CSV file with the name of the interviewee, interview number and URL.
The pull-down menu provides access to your ‘Added’ interviews. Selecting the export button initiates saving the file, and the import button allows you to access previously saved ‘Added collections’. export button initiates saving the file, and the import button allows you to access previously saved ‘Added collections’.