Appendix to Lecture 4

[back to Lecture 4]

Here are some extracts of real data we shall use to spot various CA features. 

Look through and see if you can find examples of the following:

adjacency pairs
assessment-agreement
first and second pair parts
reformulation
openings
pre-requests
closings
pre-sequences
preferreds and dispreferreds
pre-announcements
insertion sequences
offer-acceptance
markedness
summons-answer

You might like to consult this page of notation to make sense of some of the odd symbols.

Sources of extracts indicated where possible.

Extract 1

1	Ch	Can I go down an see ‘im
2		(2.0)
3		C'mo::n
4		(1.5)
5		Com’n te see ‘im
6		(1.6)
7		C’mo::n

Extract 2

1	A	Why what’sa matter with y-you sou[nd HA:PPY, hh
2	B	[Nothing
3	B	I sound ha:p[py?
4	A	[Ye:uh
5		(0.3)
6	B	No

Extract 3

1	A	She says you might want that dress I bought,
2		whether you do
3	B	Oh thanks (well), let me see I really
4		have lots of dresses

Extract 4 Pomerantz, 1975: I

1	T	T’s – it’s a beautiful day out isn’t it?
2	L	Yeah it’s jus’ gorgeous….

Extract 5

1	Ch	I wan my ow:n tea.hh myself
2	M	(You) want what? =
3	Ch	= My tea myse:lf
4	M	No:w? We are all having tea

Extract 6

1	C	Hullo I was just ringing up to ask if you
2		were going to Bertrand’s party
3	R	Yes I thought you might be
4	C	(Heh heh)
5	R	Yes would you like a lift?
6	C	Oh I’d love one

Extract 7 From Levinson

1	A	I ordered some paint from you uh a couple
2		of weeks ago some vermilion
3	B	Yuh
4	A	And I wanted to order some more
5		the name’s Boyd
6	B	Yes  [how many tubes would you like sir
7	A	[An-
8	A	U:hm(.) what’s the price now eh with V.A.T.
9		Do you know eh
10	B	Er I’ll just work that out for you
11	A	Thanks
12		(10.0)
13	B	Three pounds nineteen a tube sir
14	A	Three nineteen is it =
15	B	= Yeah
16	A	E::h (1.0) yes u:hm (dental click))
17		((in parenthetical tone)) e:h jus-justa think,
18		That’s what three nineteen
19		That’s for the large tube isn’t it
20	B	Well yeah it’s the thirty seven c.c's
21	A	Er, hh I’ll tell you what I’ll just eh eh ring
22		you back I have to work out how many I’ll
23		need.  Sorry I did – wasn’t sure of the price
24		you see
25	B	Okay

Extract 8 my data (SH)

1	Psy	°right°. .h ­Tell me about what it is that
2		you ¯see then Michael
3		what's the sort of things that you °see°.
4	Pat	spiders on ­wa::lls:, ésnakes-, snakes: in the ­carpet,
5	Psy	[uh-hm
6	Psy	how often d'you ­see these things.
7	Pat	things darting in' (all the) rooms, like rats
8		(.7)
9	Psy	pt ésounds ­aw ùful
10	Pat	[(      )               ]
11		(1.3)
12	Psy	and d'y see that- (.2) b- quite regularly
13	Pat	­°yh°.

Extract 9 my data (SH)

1	Psy	.pt .h d'y ­like other people, (.)  would you say?
2		(1.3)
3	Pat	they're all ­ri:ght
4		(1.4)
5	Pat	­I've- (>n- I'mea-='ve go-) I've probably ab'-< ¯four
6		(.) close friends
7		(.5)
8	Psy	yeah
9	Pat	an jus' stick with me ­friends
10		(1.0)
11	Psy	.pt (.) ­o°kay°.

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