multidisciplinary research and gis techniques in language history
TRANSCRIPT
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Multidisciplinary research and GIS techniques in language history studies: from a project on the languages of Lower Fungom (NW Cameroon)
Pierpaolo Di Carlo (University at Buffalo)
Giovanna Pizziolo (University of Siena)
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Acknowledgments
• This research is part of a U.S. NSF-funded project “Towards an areal grammar of Lower Fungom” (BCS-0853981), PI Jeff Good (2010-2012).
• Funds ($1,500!) for starting up a GIS framework have come from the Digital Humanities Initiative at Buffalo.
• Data and results are the outcome of a team-based research: Jeff Good, Jesse Lovegren (UB), and Rebecca Voll (Leiden).
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Political map 1
Distribution of kin groups acting corporately in matters of residence, marriage, economy, and, partly, politics
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Approximately 100 loosely-defined kin groups coalesce into 12 traditionally independent village-chiefdoms headed by a chief. Traditionally, villages/polities (used to) act as corporate groups mostly in ritual and judicial terms.
Political map 2
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Language map 1
•2 language clusters
•3 one-village languages
•2 languages connected with groups outside of the area
• How to explain this highly diverse linguistic scenario?
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Language map 2
• Yemne-Kimbi group is referential non-genetic and, apparently, occupying a high node within Bantoid (same as Wide Grassfields)
• How to explain YK “apartness” with respect to neighboring language groups?
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Language map 3
• Locals’ perceptions: each village has its own language
• How to explain such extremely localist sociolinguistic attitude?
• Micro-area
• Expectedly rather “shallow prehistory”
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Tackling the enigma: multidisciplinary research
“Our argument *…+ has been carefully crafted to ensure that different lines of evidence are neither conflated nor used interchangeably. We consider each line of evidence separately and then compare them to assess accordance or discordance.” (Donohue and Denham 2010:248)
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Tackling the enigma: linguistics
• Linguistic research:
– Lovegren’s 6-month fieldwork on Mungbam
– Voll’s 5-month fieldwork on Mundabli
– Good’s several shorter visits for studying mostly Ajumbu, Koshin, and Naki
– Mve and Nganguep Tchiemouo’s ongoing Master’s research on Fang
• Methodology: mostly elicitation sessions, some narratives (and verbal art performances in future)
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Type of data Collected through
✓ Topographic GPS survey (ca. 200 km on foot)
✓ Ethnographic Extensive survey
✓ Archaeological Partial survey (ca. 15% of surface)
✓ Historiographical Archival research (Buea, Berlin)
✗ Genetic
L Environmental & Geo-morphological
Remote
Tackling the enigma: the rest
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Topography
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Topography
• About 200km covered on foot
• All movements have been kept track of using a GPS system
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Ethnographic research
• Goals – Check for cultural boundaries within Lower Fungom
– Evaluate the degree to which cultural and linguistic boundaries may be seen to coincide
• Methods – Observation, interviews, and archival research
– Establish a term of sociocultural comparison
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Sociocultural map
• Features are not meant to capture diversity but degrees of closeness to an “empirical prototype” (Lower Fungom Canon, LFC)
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Sociocultural map
• Closest to the prototype are societies speaking either of the two YK clusters
• Societies speaking one-village or non-YK languages are both distant from the prototype and from each other
• Lower Fungom Canon and YK non-one-village languages co-occur
The existence of language clusters in itself strongly suggests that some communities have been present in the area longer than others. This is further corroborated by the fact that societies speaking varieties of either of the two Yemne-Kimbi clusters (Mungbam and Ji) share important sociocultural features.
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Ethnohistorical Landscape: earliest reconstructible scenario (ca. 1600)
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Ethnohistorical Landscape: ca. 1750
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Ethnohistorical Landscape: ca. 1830
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Ethnohistorical Landscape: ca. 1860
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Ethnohistorical Landscape: ca. 1900
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Ethnohistorical Landscape: 1972
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Ethnohistorical Landscape: present
In most cases we
see a progressive
localization of
these items of
memory.
Synoecism
(crystallization)
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1600
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3D 11830830
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3D 11900900
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Ngun 1600
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Ngun 1830
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Ngun 1900
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Mufu 1600
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Mufu 1830
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Mufu 1900
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Pre-1850
In many cases settlement
pattern used to be rather
dispersed.
Shift from lowland
dispersed to concentrated
settlement on hilltops has
economic and political
(ideological) implications.
We infer an earlier
scenario dominated by
non-centralized societies,
dialect continua and
lesser localist ideologies.
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Crystallization =
Ethnogenesis =
Glottogenesis
1850-1900
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Surprise!
• All the maps you have seen so far were produced using ArcGIS, a software for building and handling Geographical Information Systems (GIS).
• By combining representations of items of knowledge (a database) with a computer mapping system, a GIS is able to store and handle datasets coming from a number of different sources (disciplines) concerned with the same area and to integrate them along with real-world information.
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Functionalities of GIS
Four keywords:
• Thematization
• Contextualization
• Spatial analysis
• Reliability check
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Thematization
• Thematization = selection of one or more variables (i.e. fields of a DB) in order to display items on map according to that variable.
• Thematic maps facilitate the discovery of systematic spatial correlations between apparently unrelated datasets and, hence, the interpretation of spatial patterns within the data.
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WALS (wals.info)
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WALS (wals.info)
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WALS (wals.info)
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LL-Map (www.llmap.org)
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LL-Map (www.llmap.org)
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Detroit linguistic diversity (Veselinova and Booza)
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Contextualization
• Provide existing data with a broad context within which to visualize and interpret spatial relationships between items.
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Contextualization
• In GIS framework contextualization means not only “providing content with its own container”
• Goal is to produce tools for understanding the ways in which our items interact in real world AND how they interact WITH environment
• Landscape perspective
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Landscape
“ ‘Landscape’ means an area, as perceived by people, whose character is the result of the action and interaction of natural and/or human factors”
Landscape is an “essential component of people’s surroundings, an expression of the diversity of their shared cultural and natural heritage, and a foundation of their identity”.
(European Landscape Convention art. 1,a and 5,a)
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• Is not “space”, a neutral background over which we can visualize items
• Nor “territory”, which emphasizes the physical-geographical nature of environment
• Rather, it is the result of a complex interaction and, importantly, goes beyond objectivity
• This is why we have proposed a “ethnohistorical landscape”
Landscape
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Spatial analysis in a GIS framework
At the heart of any GIS is a DEM,
a numerical model expressing
altitude above sea level.
The DEM allows us to derive
other numerical maps.
Slope (i.e incline of a surface) is
an instance of such maps:
different colors represent different
slope gradients.
These maps serve to highlight
steep vs. plain areas and to
identify areas more suitable to
agricultural exploitation.
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Spatial analysis in a GIS framework
At the heart of any GIS is a DEM,
a numerical model expressing
altitude above sea level.
The DEM allows us to derive
other numerical maps
Slope (i.e incline of a surface) is
an instance of such maps:
different colors represent different
slope gradients.
These maps serve to highlight
steep vs. plain areas and to
identify areas more suitable to
agricultural exploitation.
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At the heart of any GIS is a DEM,
a numerical model expressing
altitude above sea level.
The DEM allows us to derive
other numerical maps
Slope (i.e incline of a surface) is
an instance of such maps:
different colors represent different
slope gradients.
These maps serve to highlight
steep vs. plain areas and to
identify areas more suitable to
agricultural exploitation.
Spatial analysis in a GIS framework
Ca. 1600
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Spatial analysis in a GIS framework
At the heart of any GIS is a DEM,
a numerical model expressing
altitude above sea level.
The DEM allows us to derive
other numerical maps
Slope (i.e incline of a surface) is
an instance of such maps:
different colors represent different
slope gradients.
These maps serve to highlight
steep vs. plain areas and to
identify areas more suitable to
agricultural exploitation.
Today
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Spatial analysis and Linguistic Prehistory
Our current hypothesis draws on
ethnohistorical claims:
• Ngun one of the oldest villages
• No recollections of disparate
origins of Ngun patrilineages
We want to check whether this is
tenable and what role this might
play in reconstructing the
linguistic prehistory of the area.
If it is true, then Ngun may have
been an early center of cultural
irradiation in LF (“source” of
Mungbam).
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Reliability check
• GIS allows continuous check on reliability of one’s data (provided the DB is built accordingly).
• This is also important to set the research agenda (field trips and their goals).
• Also peculiar to “fully GIS approach”.
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GIS and its limits in research on Linguistic prehistory
• GIS can handle and facilitate analysis of data coming from multiple disciplines and hence can offer fruitful research tools but
• GIS is not an end in itself: it provides research tools for further (and GIS-independent) interpretation
• It has limits. Particularly evident from an African standpoint are: how to represent multilingualism? Language ideologies?
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ESF workshop
• How to build a GIS expressly directed towards linguistic prehistory, and hence how to develop its features in this perspective, is the central theme of a proposed ESF Exploratory Workshop, which will hopefully take place in February 2012 at Leiden (co-applicants Hombert, Zeitlyn, and Di Carlo)
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Publications about Lower Fungom
• Di Carlo, Pierpaolo “Lower Fungom linguistic diversity and its historical development: proposals from a multidisciplinary perspective”. Africana Linguistica, 17 (2011): 39-86. (here the research method is clearly outlined, but GIS is absent)
• Good, Jeff, J. Lovegren, J.P. Mve, C. Nganguep Tchiemouo, R. Voll, P. Di Carlo “The languages of the Lower Fungomregion of Cameroon: Grammatical overview”. Africana Linguistica 17 (2011): 87-152.