Quick reference card: Attributes

To understand what each of these properties mean, check out the attribute typology.

Scope	Attribute	Display title	Description	Export name	Filterable	Multiple values
Transcript	corpus	Corpus	Collection of transcripts from a single research project	`corpus`	False	False
Transcript	episode	Episode	Series of transcripts from a single sociolinguistic interview	`episode`	True	False
Transcript	transcript	Transcript	Transcript file name	`transcript`	True	False
Transcript	duration	Duration (sec)	Transcript duration in seconds	`transcript_duration`	True	False
Transcript	language	Language	Language spoken (placeholder)	`transcript_language`	False	False
Transcript	neighborhood	Neighborhood	Which neighborhood main speaker was recruited from (note that Pittsburghers often refer to municipalities near Pittsburgh as "neighborhoods")	`transcript_neighborhood`	True	False
Transcript	notes	Notes	General notes that help contextualize the transcript	`transcript_notes`	False	False
Transcript	recording_date	Recording date	Date of recording	`transcript_recording_date`	False	False
Transcript	transcribers	Transcribers	Name of transcriber(s) who completed the original orthographic transcription	`transcript_transcribers`	False	False
Transcript	transcription_ai_tools	Transcription AI tool(s)	AI tool(s) used to assist human transcription	`transcript_transcription_ai_tools`	False	True
Transcript	type	Transcript type	Sociolinguistic interview section	`transcript_type`	True	False
Transcript	version_date	Version date	Date the transcript was last edited	`transcript_version_date`	False	False
Participant	participant	Participant	APLS speaker code	`participant`	True	False
Participant	education	Education	Five-way classification of highest educational attainment	`participant_education`	True	False
Participant	ethnicities	Ethnicities	Ethnic/racial self-identification	`participant_ethnicities`	False	True
Participant	gender	Gender	Gender identity	`participant_gender`	True	False
Participant	neighborhood	Neighborhood	Which neighborhood speaker was recruited from (note that Pittsburghers often refer to municipalities near Pittsburgh as "neighborhoods")	`participant_neighborhood`	True	False
Participant	neighborhood_childhood	Childhood neighborhood	Childhood neighborhood/municipality (narrow)	`participant_neighborhood_childhood`	False	False
Participant	neighborhood_current	Current neighborhood	Neighborhood/municipality at time of interview (narrow)	`participant_neighborhood_current`	False	False
Participant	occupation	Occupation	Four-way classification of occupation	`participant_occupation`	False	False
Participant	relationships	Relationships	Relationships to other speakers	`participant_relationships`	False	False
Participant	speech_rate	Speech rate (participant)	Measurement of syllables per second, skipping over pauses, across all of this speaker's aligned utterances	`participant_speech_rate`	False	False
Participant	transcript_duration	Transcript duration	Total duration of transcripts (in seconds) for which this is the main speaker (not total speaking time)	`participant_transcript_duration`	True	False
Participant	type	Speaker type	Whether a participant is a main speaker (interviewee), interviewer, or bystander.	`participant_type`	True	False
Participant	year_of_birth	Birth year	Year of birth	`participant_year_of_birth`	True	False
Main_participant	main_participant	Main Participant	APLS speaker code for the participant being interviewed in a given transcript	`main_participant`	False	False