The Wintu and Their Neighbors
Christopher Chase-Dunn and Kelly M. Mann
Appendix 2:
An analysis of projectile point data from the Sacramento River Canyon
This is an analysis of propoint data from Basgall and Hildebrandt (1989) to study obsidian source differences by location in the Sacramento River Canyon.
Tuscan obsidian is a particular type of volcanic glass that comes from a delimited area near Backbone Ridge (Seaman's Gulch) not far from the heartland of Wintu territory. Ethnographers have long asserted that the boundary between Wintu-speakers and the Okwanuchu-Shastans in the Sacramento River Canyon was just north of Pollard Flat where North Salt Creek joins the Sacramento. If the boundary between the Wintu and the Okwanuchu was there, and if the Wintu had been pushing north up the Canyon into Hokan-speaking territory:
The above follows because the Tuscan sources (near Backbone Ridge) are well within Wintu territory while access to the Medicine Lake highlands (Northeast of Mount Shasta) requires that the Wintu cross through Shastan lands or trade for obsidian with their enemies.
Bill Hildebrandt provided four D-Base files containing the propoint data
listed in Basgall and Hildebrandt (1989: Vol 2 Appendix J) -- one file
from each site they studied. We converted these into a single SPSS
file.
Variables that we added:
SITE = SHA-1175, SHA-1176 (both at Vollmers), SHA-476 (at La Moine),
SHA-1169 at Pollard Flat.
LOCATION = Vollmers, La Moine, Pollard Flat
DISTANCE (from Seaman's Gulch in kilometers, the way the crow flies)
Vollmers= 38 km.; LaMoine= 42 km.; Pollard Flat= 45 km.
Then we merged the four files. The total number of projectile points is
1321.
The number of points for each LOCATION: Vollmers
= 318 points; La Moine = 599 points; Pollard Flat = 404 points
Variables we recoded:
CHEM= chemical sourcing (x-ray florescence).
0= not sourced; 1= Grass Hopper Flat/Lost Iron Well; 2= Tuscan; 3 = Borax Lake; 4 = Glass Mountain; 5 = Buck Mountain; 6= Railroad Grade; 7 = Unknown; 8 = East Medicine Lake; 9 = Harris Flat.
We computed CHEM1 lumping GHF/LIW, East Med Lk, Railroad Grade,
and Glass Mountain together into "Medicine Lake Highlands".
Medicine Lake Highlands N = 620
Tuscan N = 81
Borax Lake N = 1
Buck Mountain N = 5
Harris Flat N = 1
Unknown N = 1
Not Sourced N = 612
HYD -8.8= not cut for hydration, declare as missing value; Why so many
0.0 readings? What do these mean?
HYD1 = HYD categorized into 4 approximately equally-sized groups of points.
HYD3 = Medicine Lake hydration converted into Tuscan scale using formula
on p. 198 in Basgall and Hildebrandt, Vol 1.
Tuscan microns = 0.670 GF/LIW/RS microns - 0.296.
HYD4 is HYD3 divided into categories :
1 = .0 to .7 = present to 565 BP N = 70
2 = .701 to 1.4 = 566 BP to 1280 BP N = 74
3 = 1.41 to 2.4 = 1281 to 2710 BP N = 182
4 = 2.41 to 3.4 = 2711 to 4515 BP N = 333
5 = 3.41 to highest= 4516 to very old N = 262
400 points were not cut for hydration.
SERIES (called "Class" in B and H, Appendix J)
12 point types. This is a string variable.
SPSS uses only the first 8 letters, thus collapsing some of the categories,
e.g. Gunther A, B and C become Gunther.
We call our variable (based on SERIES) PTYPE. There are 231 Gunther
points, 7 Desert Side-Notched, 411 Clikapudi, 88 McKee, 24 Pollard, 270
Squaw Creek, and 50 Widestems. Gunther points are sometimes considered
a time-marker because these small points were used on arrows, and appear
with the coming of the bow.
location x chem1
location x chem1 x ptype
location x chem1 by hyd4
chem1 x hyd4
chem1 x hyd4 x location
ptype x hyd4
Results
Location by Chem1 using only Tuscan and Medicine Lake points.
n = 694
% tuscan by location
Location | % tuscan | N |
Vollmers |
12.1% | 206 |
La Moine | 7.2 | 319 |
Pollard | 19.3 | 169 |
Overall Chi Squared Sig. 0003.; Diff between Vollmers and La Moine Sig.
.08; Diff between Vollmers and Pollard Sig. = .07. Diff between La Moine
and Pollard Sig. = .0001.
Controlling for Ptype = Gunther points only
Location | % Tuscan | N |
Vollmers | 24.4 | 41 |
LaMoine | 7.1 | 56 |
Pollard | 18.5 | 27 |
Overall Sig. .06; Diff between Vollmers and Pollard Not Sig. (.80). Diff
between La Moine and Pollard Not Sig (.23).
(but Gunther points are not good time markers for the most recent period
in this context -- see below)
Using HYD1, which is HYD uncorrected for source, divided into approximately
equal size categories.
Hyd1= 1 (most recent) 0.0 to 2.7 microns, N = 225
Location | % Tuscan | N |
Vollmers | 25.5 | 51 |
LaMoine | 20.7 | 82 |
Pollard | 35.7 | 28 |
Not. Sig.
Hyd1 = 2 2.8 to 4.1 microns, N = 221
Location | %Tuscan | N |
Vollmers | 15.4 | 52 |
LaMoine | 6.4 | 78 |
Pollard | 43.3 | 30 |
Sig = .0000
Using HYD5, which is based on HYD uncorrected for source, but divided into
categories which contain the same number of cases as HYD4 (in order to
compare better with HYD4 results below).
HYD5 = 1 (most recent) 0.0 to 1.2 microns, N = 45
Location | % Tuscan | N |
Vollmers | 36.4 | 11 |
LaMoine | 13 | 23 |
Pollard | 45.5 | 11 |
Overall Sig. level = .0955
HYD5 = 2 , 1.3 to 2.2 microns, N = 62
Location | %Tuscan | N |
Vollmers | 26.1 | 23 |
LaMoine | 33.3 | 33 |
Pollard | 50 | 6 |
Overall Sig. level .53 (not sig.)
Using HYD4 (corrected for source diffs in hydration rate and categorized
(see above)
Hyd4 = 1 (n= 52)
Location | %Tuscan | N |
Vollmers | 15.4 | 13 |
LaMoine | 3.6 | 28 |
Pollard | 44.5 | 11 |
Overall Sig. .0049; Diff between Vollmers and Pollard Not Sig. (.24). Diff
between LaMoine and Pollard Sig. .0056.
Hyd 4 = 2 (n=65)
Location | %Tuscan | N |
Vollmers | 16.0 | 25 |
LaMoine | 6.9 | 29 |
Pollard | 11.1 | 9 |
Overall not sig.(.57) Diff between Vollmers and Pollard, Not sig.
Diff between LaMoine and Pollard Not Sig.
Lets cut time a little differently, looking at the most recent cases separately:
Only looking at cases which have score of .0 on Hyd3 (n= 23)
%Tuscan N
Vollmers 40 5
La Moine 12.5 8
Pollard 50 10
Location | %Tuscan | N |
Vollmers | 40.0 | 5 |
LaMoine | 12.5 | 8 |
Pollard | 50.0 | 10 |
cases which have gt .0 but lt 1.4 on Hyd3 (n= 91)
Location | %Tuscan | N |
Vollmers | 9.4 | 32 |
LaMoine | 4.1 | 49 |
Pollard | 10.0 | 10 |
Lets look at change over time.
HYD4 by Chem1 (all sites)
Hyd4 | %Tuscan | N |
0-565 BP | 15.4 | 52 |
566-1280 BP | 11.1 | 63 |
1281-2710 BP | 11.6 | 164 |
2711-4515 BP | 9.2 | 292 |
4516-old | 15.0 | 80 |
Does this pattern vary by location? Yes.
Vollmers
Hyd4 | %Tuscan | N |
0-565 BP | 15.4 | 13 |
566-1280 BP | 16.0 | 25 |
1281-2710 BP | 9.3 | 54 |
2711-4515 BP | 8.3 | 12 |
4516-old | 15.0 | 80 |
LaMoine
Hyd4 | %Tuscan | N |
0-565 BP | 3.6 | 28 |
566-1280 BP | 6.9 | 29 |
1281-2710 BP | 12.6 | 87 |
2711-4515 BP | 4.8 | 147 |
4516-old | 8.0 | 25 |
Pollard
Hyd4 | %Tuscan | N |
0-565 BP | 45.5 | 11 |
566-1280 BP | 11.1 | 9 |
1281-2710 BP | 13.0 | 23 |
2711-4515 BP | 16.9 | 59 |
4516-old | 20.9 | 43 |
What does this mean? There is almost always more Tuscan obsidian at Pollard
. This is rather wierd because Pollard is the most distant location from
the source of the Tuscan obsidian. But the big difference in the most recent
time period is based on a small sample of 11 points and so that could be
an aberration.
When we use HYD5, the uncorrected measure of hydration, the results are
more encouraging for my hypothesis about increasing Tuscan use over time,
but this is an artifact of the slower rate at which Tuscan obsidian hydrates.
This demonstrates the importance of correcting for source-specific hydration
rates.
HYD5 by Chem1
Hyd5 | %Tuscan | N |
0-565 BP | 27 | 45 |
566-1280 BP | 32 | 62 |
1281-2710 BP | 21 | 129 |
2711-4515 BP | 4 | 230 |
4516-old | 2 | 185 |
Lets try looking at change over time by using point types as time markers.
The tables below show that Gunther points are not good markers for the
most recent time periods, but we can try using point types as time markers
anyway. I will order the point types in the way indicated by the table
below that uses HYD4 (corrected hydration) : Gunther, Clik Cor, McKee,
Pollard, SC Contr and Widestem.
Point Type | %Tuscan | N |
Gunther | 15.3 | 124 |
Clik Cor | 10.6 | 132 |
McKee | 0 | 53 |
Pollard | 6.3 | 16 |
SC Contr | 16.1 | 149 |
Widestem | 20 | 30 |
A slightly different result is obtained using Gunther points as time markers
for the most recent period, with Vollmers having the highest % Tuscan,
Pollard 2nd and La Moine least, but this is suspect because Gunther points
are not a clear time marker for the most recent period in the Sacramento
River Canyon. Also the differences between the locations were not statistically
significant.
What about changes in Tuscan usage over time? There do not appear to be
significant differences across time periods when we use corrected hydration
measurements. The increase in % Tuscan from 11.1% to 15.4% in the transition
from HYD4-2 to HYD4-1 (all locations) is not replicated when we look at
individual locations. Pollard Flat accounts for most of the increase, and
this result is based on a Pollard Flat N for HYD4-1 of 11 points.
Using point types as time markers to examine change in Tuscan use over
time shows a curious pattern of early high Tuscan use, little Tuscan in
the middle, and increasing Tuscan use in late point types. I tend to trust
the hydration measure of time more than the point types because of the
results shown below. Most point types are spread widely across time and
are poor time markers.
It may be that there are no true significant differences across these locations
or across time. The differences between locations are sometimes statistically
significant, especially between La Moine and Pollard Flat. Though this
difference is significant at the .0056 level for HYD4-1, this is based
on only eleven points from Pollard Flat. Part of the problem may be due
to the rather small sample of recent points from Pollard. The difference
between LaMoine and Pollard for HYD4-2 is not statistically significant.
It would be helpful to have a larger sample of recent points from Pollard
Flat. Is it possible to do hydration and sourcing on those points which
were not studied from Pollard in order to increase the size of the sample?
There were 349 points which were neither cut for hydration nor sourced.
Seventy-five of these were from Pollard Flat. How much would this cost?
If such a study were to confirm the a big difference of the kind indicated
between La Moine and Pollard Flat, with Pollard having more Tuscan
than LaMoine, how could we account for this? Obviously propinquity and
transport costs would work against this outcome. What if there were an
ethnic/linguistic boundary between La Moine and Pollard with lots of trade
across the boundary. It is possible that groups on either side of the boundary
would prefer the kind of obsidian that they had less access to, and that
this would result in the differences? But if this were true, why would
the use of Tuscan be greater at Vollmers than at La Moine, and why should
this apparent pattern persist over 5000 years when ethnic boundaries probably
changed greatly over that period?
Elaine Sundahl (1982:95,166) has found only one projectile point made from
Medicine Lake Highlands obsidian out of sample of thirty points found at
two sites in the Redding area. Twenty-eight others were Tuscan. This implies
that Wintu in the Redding area were using very little non-Tuscan obsidian.
It would be helpful to have data from studies intermediate between the
Sacramento River Canyon and Redding to help map out the sourcing patterns.
Thus the broader spatial comparison between Redding and the Sacramento
River Canyon does seem correspond with our original arguement about increased
Tuscan usage in the South.
Sundahl contends that the Wintu did not use much non-Tuscan obsidian. She
thinks that the Sacramento River Canyon was not Wintu territory until very
recently. Whether or not that is true, the sites studied by Basgall and
Hildebrandt were determined largely by the rerouting of I-5, and probably
do not correspond with the locations of major riverine villages, except
perhaps for the La Moine site. The freeway route is quite high above the
river, while most of the village sites were on flats rather close to the
river. Since the Wintu were riverine people the site selection may better
represent older, pre-Wintu inhabitants of the Canyon.
Hyd5 | Clik Cor | Gunther | McKee | Pollard | ScContr | Widestem |
1(recent) | 9
20% |
16
36% |
1
2% |
8
18% |
1
2% |
|
2 | 14
23% |
28
45% |
2
3% |
2
3% |
2
3% |
|
3 | 25
19% |
58
45% |
5
4% |
1
1% |
12
9% |
6
5% |
4 | 56
24% |
13
6% |
17
7% |
6
3% |
48
21% |
11
5% |
5(oldest) | 21
11% |
2
1% |
25
14% |
9
5% |
67
36% |
6
3% |
PTYPE by HYD4 (corrected for source diffs in hydration).
Hyd5 | Clik Cor | Gunther | McKee | Pollard | ScContr | Widestem |
1(recent) | 15
21.4% |
22
31.4% |
3
4.3% |
1
1.4% |
9
12.9% |
1
1.4% |
2 | 12
16.2% |
47
63.5% |
3
4.1% |
0 | 0 | 1
1.4% |
3 | 50
27.5% |
55
30.2% |
4
2.2% |
1
0.5% |
13
7.1% |
4
2.2% |
4 | 61
18.3% |
31
9.3% |
33
9.9% |
13
3.9% |
86
25.8% |
16
4.8% |
5(oldest) | 36
13.7% |
6
2.3% |
18
6.9% |
3
1.1% |
94
35.9% |
13
5.0% |
Here is what this looks like when uncorrected Hydration measurements are
divided into four approximately equally sized categories:
Hyd5 | Clik Cor | Gunther | McKee | Pollard | ScContr | Widestem |
1(recent) | 42 | 109
48.4% |
6 | 2 | 18 | 5 |
2 | 65 | 43
19.5% |
6 | 1 | 26 | 7 |
3 | 51 | 7
2.6% |
27 | 10 | 66 | 13 |
4(oldest) | 16 | 2
1.0% |
22 | 5 | 92 | 10 |
Gunther points are not a good time marker for the most recent period. When
HYD1 is used (uncorrect hydration that has been divided into four categories
of about the same size) Gunther points look like a strong measure. But
this result is confounded when we look at results using HYD4 or HYD5. Both
of these make finer distinctions within the most recent time period, and
they show that Gunther points decline as a percentage of all points
in the most recent period. This result is not dependent on the correction
we made for hydration source, but is rather due to the way in which hydration
measurements are grouped.
There are differences in the HYD4 and HYD5 tables which are important in
their implications for the use of point types as time markers.We have used
the corrected hydration table (HYD4) to order point types for our study
of change in Tuscan use over time (see above).