| Literature DB >> 26528205 |
Bram Tucker1, Jaovola Tombo2, Patricia Hajasoa2, Charlotte Nagnisaha2.
Abstract
A fact of life for farmers, hunter-gatherers, and fishermen in the rural parts of the world are that crops fail, wild resources become scarce, and winds discourage fishing. In this article we approach subsistence risk from the perspective of "coexistence thinking," the simultaneous application of natural and supernatural causal models to explain subsistence success and failure. In southwestern Madagascar, the ecological world is characterized by extreme variability and unpredictability, and the cosmological world is characterized by anxiety about supernatural dangers. Ecological and cosmological causes seem to point to different risk minimizing strategies: to avoid losses from drought, flood, or heavy winds, one should diversify activities and be flexible; but to avoid losses caused by disrespected spirits one should narrow one's range of behaviors to follow the code of taboos and offerings. We address this paradox by investigating whether southwestern Malagasy understand natural and supernatural causes as occupying separate, contradictory explanatory systems (target dependence), whether they make no categorical distinction between natural and supernatural forces and combine them within a single explanatory system (synthetic thinking), or whether they have separate natural and supernatural categories of causes that are integrated into one explanatory system so that supernatural forces drive natural forces (integrative thinking). Results from three field studies suggest that (a) informants explain why crops, prey, and market activities succeed or fail with reference to natural causal forces like rainfall and pests, (b) they explain why individual persons experience success or failure primarily with supernatural factors like God and ancestors, and (c) they understand supernatural forces as driving natural forces, so that ecology and cosmology represent distinct sets of causes within a single explanatory framework. We expect that future cross-cultural analyses may find that this form of "integrative thinking" is common in unpredictable environments and is a cognitive strategy that accompanies economic diversification.Entities:
Keywords: Madagascar; causal cognition; cosmology; culture; risk; traditional knowledge; unpredictability
Year: 2015 PMID: 26528205 PMCID: PMC4602100 DOI: 10.3389/fpsyg.2015.01533
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
A rank ordered summary of groups’ average risk ratings for activities listed by four or more groups.
| Activity | Crop/prey scientific name | Subsistence mode | Average risk (0 = not risky–3 = very risky) | Standard deviation (disagreement) | |
|---|---|---|---|---|---|
| Lesser hedgehog tencec | Forest foraging | 7 | 0.14 | 0.38 | |
| Trapping birds | Various | Forest foraging | 4 | 0.25 | 0.50 |
| Wage labor replanting rice | Market | 7 | 0.43 | 0.79 | |
| Digging | Forest foraging | 8 | 0.50 | 0.76 | |
| Freshwater fishing, line | Forest foraging | 4 | 0.75 | 0.96 | |
| Gathering and selling fuelwood | Market | 9 | 0.78 | 0.97 | |
| Wage labor, rice tilling | Market | 6 | 0.83 | 0.98 | |
| Hunting mouse lemur | Forest foraging | 4 | 1.00 | 0.82 | |
| Tobacco retailing | Market | 4 | 1.00 | 0.82 | |
| Coffee vending | Market | 9 | 1.56 | 1.01 | |
| Marine finfish, with net | Various sp. | Marine fishing | 6 | 1.67 | 0.81 |
| Shop keeping | Market | 11 | 1.73 | 1.19 | |
| Honey gathering | Forest foraging | 8 | 1.75 | 0.89 | |
| Sea cucumber gathering, night | Marine fishing | 4 | 1.75 | 1.26 | |
| Pumpkin | Agriculture | 6 | 1.83 | 0.41 | |
| Sea cucumber gathering, day | Marine fishing | 6 | 1.83 | 0.98 | |
| Gathering octopus | Agriculture | 7 | 1.86 | 0.38 | |
| Vohem beans | Agriculture | 7 | 1.86 | 0.38 | |
| Sweet potato | Agriculture | 9 | 1.89 | 0.60 | |
| Onion | Agriculture | 5 | 2.00 | 0.71 | |
| Maize | Agriculture | 12 | 2.08 | 0.90 | |
| Marine finfish, line | Various sp. | Marine fishing | 5 | 2.20 | 0.45 |
| Manioc | Agriculture | 14 | 2.21 | 0.70 | |
| Rice | Agriculture | 9 | 2.56 | 0.73 | |
| Bushpig hunting | Forest foraging | 5 | 2.80 | 0.45 | |
| Shark netting | Unidentified sp. | Marine fishing | 4 | 3.00 | 0.00 |
Summary of analysis of agreement between all pairs of risk ratings for the same activity, using Cohen’s Kappa.
| Sample | Agreement (%) | Agreement expected by chance (%) | Kappa | |||
|---|---|---|---|---|---|---|
| All | 606 | 42.74 | 29.72 | 0.18 | 7.70 | 0.000 |
| Women | 139 | 30.94 | 25.52 | 0.08 | 1.50 | 0.066 |
| Men | 135 | 58.52 | 39.03 | 0.32 | 5.14 | 0.000 |
| Masikoro | 48 | 45.83 | 30.73 | 0.22 | 2.59 | 0.005 |
| Mikea | 168 | 38.10 | 26.53 | 0.16 | 3.48 | 0.000 |
| Vezo | 43 | 44.19 | 37.75 | 0.10 | 1.02 | 0.153 |
| Tandroy | 9 | 88.89 | 44.44 | 0.80 | 3.34 | 0.000 |
Sample characteristics for Studies 2 and 3.
| Village study | Sample size | Age1 | Mean Frequency of church attendance2 | Mean Years of formal education | Wealth3 | ||||
|---|---|---|---|---|---|---|---|---|---|
| Total | Women | Young adult | Adult | Old adult | Low | High | |||
| Bevondrorano (Mikea) | |||||||||
| Study 2 | 12 | 9 | 4 | 7 | 1 | 0.4 | 1.2 | 10 | 2 |
| Lamboara (Vezo) | |||||||||
| Study 2 | 24 | 14 | 3 | 17 | 4 | 1.3 | 4.3 | 16 | 8 |
| Study 3 | 22 | 10 | 2 | 15 | 5 | 1.4 | 4.0 | 10 | 12 |
Frequency that different natural and supernatural factors were listed or endorsed by Mikea and Vezo informants.
| Factors listed voluntarily by informants | Factors endorsed by informants when listed by the researcher | Factors listed and endorsed | ||||
|---|---|---|---|---|---|---|
| Mikea | Vezo | Mikea | Vezo | Mikea | Vezo | |
| 12 | 24 | 12 | 24 | 12 | 24 | |
| Rainfall | 3 | 0 | 3 | 3 | 6 | 3 |
| Hard work | 5 | 5 | 3 | 9 | 8 | 14 |
| PestsM/WindV | 0 | 0 | 6 | 3 | 6 | 3 |
| Good landM/good canoeV | 2 | 0 | 1 | 3 | 3 | 3 |
| WeedsM/good netsV | 0 | 0 | 1 | 4 | 1 | 4 |
| Inherited landM/good swimmerV | 1 | 0 | 2 | 1 | 3 | 1 |
| FertilizerM | 0 | 0 | 0 | 0 | 0 | 0 |
| Age | 0 | 0 | 2 | 4 | 2 | 4 |
| Poverty | 0 | 0 | 2 | 4 | 2 | 4 |
| Jealous neighbors | 0 | 0 | 2 | 2 | 2 | 2 |
| Didn’t do bad things to others∗ | 0 | 1 | 0 | 0 | 0 | 1 |
| Good parents∗ | 1 | 2 | 0 | 0 | 1 | 2 |
| Ancestors | 7 | 20 | 2 | 3 | 9 | 23 |
| Possessing spirits | 2 | 1 | 7 | 7 | 9 | 8 |
| God | 11 | 23 | 1 | 1 | 12 | 24 |
| Magic | 5 | 4 | 5 | 4 | 10 | 8 |
| Other people’s magical attack | 0 | 0 | 1 | 0 | 1 | 0 |
| Transgression of taboos | 0 | 0 | 8 | 8 | 8 | 8 |
| Astrological destiny | 3 | 0 | 5 | 17 | 8 | 17 |
| Church attendance | 0 | 0 | 10 | 9 | 10 | 9 |
| “Anjara” (turn)∗ | 0 | 10 | 0 | 0 | 0 | 10 |
| Astrological day∗ | 0 | 1 | 0 | 0 | 0 | 1 |
Results of 12 questions asking, does factor X influence factor Y? Does Y influence X? The table reports frequencies of yes responses.
| First -> | God | Ancestors | Weather | Harvest |
|---|---|---|---|---|
| God | 0/22 | 0/22 | 0/22 | |
| Ancestors | 22/22 | 4/20 ∗ | 1/22 | |
| Weather | 22/22 | 3/20∗ | 0/22 | |
| Harvest | 20/22 | 22/22 | 22/22 |