Possible links between self-awareness and inner speech: Theoretical background, underlying mechanisms, and empirical evidence
Bibliographic record
Abstract
A neurocognitive and socioecological model of self-awareness has been recently proposed (Morin, 2003; 2004a). The model takes into account most known mechanisms and processes leading to self-awareness, and examines their multiple and complex interactions. Inner speech is postulated to play a key-role in this model, as it establishes important connections between many of its elements. This paper first reviews past and current mentions to a link between self-awareness and inner speech. It then presents an analysis of the nature of the relation between these two concepts. It is suggested that inner speech can internally reproduce and expand social and physical (ecological) sources of self-awareness. Inner speech can also create a psychological distance between the self and mental events it experiences—thus facilitating self-observation—; it can act as a problem-solving devise where the self represents the problem and self-information the solution, and can label aspects of one’s inner life that would otherwise be difficult to objectively perceive. Empirical evidence supporting the role of inner speech in self-awareness is also presented.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.011 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".