| Literature DB >> 24265610 |
Abstract
Some types of first-person narrations of mental processes that constitute phenomenological accounts and texts, such as internal monolog statements, epitomize the best expressions and representations of human consciousness available and therefore may be used to model phenomenological streams of consciousness. The type of autonomous monolog in which an author or narrator declares actual mental processes in a think aloud manner seems particularly suitable for modeling streams of consciousness. A narrative method to extract and depict conscious processes, operations, contents, and states from an acceptable phenomenological text would require three subsequent steps: operational criteria for producing and/or selecting a phenomenological text, a system for detecting text items that are indicative of conscious contents and processes, and a procedure for representing such items in formal dynamic system devices such as Petri nets. The requirements and restrictions of each of these steps are presented, analyzed, and applied to phenomenological texts in the following manner: (1) the relevance of introspective language and narrative analyses to consciousness research and the idea that specific narratives are of paramount interest for such investigation is justified; (2) some of the obstacles and constraints to attain plausible consciousness inferences from narrative texts and the methodological requirements to extract and depict items relevant to consciousness contents and operations from a suitable phenomenological text are examined; (3) a preliminary exercise of the proposed method is used to analyze and chart a classical interior monolog excerpted from James Joyce's Ulysses, a masterpiece of the stream-of-consciousness literary technique and, finally, (4) an inter-subjective evaluation for inter-observer agreement of mental attributions of another phenomenological text (an excerpt from the Intimate Journal of Miguel de Unamuno) is presented using some mathematical tools.Entities:
Keywords: conscious process models; consciousness research; dynamic system model; heterophenomenology; interior monolog; narrative method; neurophenomenology; phenomenological texts
Year: 2013 PMID: 24265610 PMCID: PMC3821450 DOI: 10.3389/fnhum.2013.00739
Source DB: PubMed Journal: Front Hum Neurosci ISSN: 1662-5161 Impact factor: 3.169
| 1. | El más insignificante suceso, | 0.375 |
| el encuentro de cualquier frase, | 0.5 | |
| la palabramásinocentequeoiga, | 0.25 | |
| lo que dice mi hijo, | 0.625* | |
| 2. | todo se me antoja aviso y símbolo | 0.125 |
| y cosadesentidooculto, | 0.813* | |
| 3. | todo lo traduzco a mi estado. | 1.0* |
| 4. | Si sigo así voy á caer en superstición. | 1.0* |
| 5. | No suenan una vez las campanas | 0.063 |
| que no crea que me llaman; | 0.934* | |
| 6. | se me antoja que se me ha de dirigir á preguntarme que me pasa | 0.125 |
| cualquier religioso que veo. | 1.0* | |
| 7. | Un deseo grande de declarar mi estado á todos, | 0.688* |
| 8. | una gran felicidad de hacer confesiones a cualquiera, | 1.0* |
| 9. | y una enorme sequedad é indiferencia | 0.125 |
| si pienso en hacerla como la Iglesia manda. | 1.0* | |
Mental term (categories) attribution to a phenomenological text (excerpt from the “Intimate Journal” of Unamuno).[a]
| Segment | Mental categories | |||||||
|---|---|---|---|---|---|---|---|---|
| Se | Pr | Em | Th | Im | Re | In | ||
| 1 | 10 | 0.50 | ||||||
| 2 | 14 | 0.57 | 0.36 | 0.36 | ||||
| 3 | 16 | |||||||
| 4 | 16 | |||||||
| 5 | 15 | 0.40 | ||||||
| 6 | 16 | 0.50 | 0.37 | |||||
| 7 | 11 | |||||||
| 8 | 16 | 0.38 | ||||||
| 9 | 16 | |||||||
The segments identified by more than half the observers appear in the first column under the legend segment. The number of observers that identified and interpreted the segment is depicted under the letter n in the second column. The next seven columns stand for the words that identify particular mental operations in the following way: Se, sensation; Pr, perception; Em, emotion; Th, thought; Im, image; Re, recall; and In, intention. The numbers in the matrix represent the recordings of the category divided by n, the number of observers so that 0 means that no evaluator made the attribution and 1.0 that all evaluators made the attribution. Bold numbers are significant at the level of p < 0.01 for both high and low scores of the category (Bernoulli hypotheses over proportion test). The asterisk (*) signals the significantly high attribution of the category in the segment.