The primary role of cultural identity clarity for self-esteem and psychological well-being
Bibliographic record
Abstract
There is a growing recognition among many who work with society's most disadvantaged cultural groups that cultural identity might be a primary issue related to their psychological adjustment. From his experience with Aboriginal peoples in Canada and inner city African American communities in the United States, Taylor (1997, 2002) theorizes that without a clear cultural identity, a person has no normative template with which to construct a clear personal identity, and by extension, to achieve positive self-esteem and well-being. The program of research I describe in the present thesis represents the first attempt to empirically investigate the extent to which the clarity of an individual's cultural identity is predictive of their experience of personal self-esteem and psychological well-being. In Manuscript 1, I present a series of studies that were conducted with undergraduate students, Anglophone Quebecers, Francophone Québécois, Chinese North Americans, and Aboriginal Canadians. In these five studies, the results demonstrate consistently positive associations among cultural identity clarity, personal identity clarity, and self-esteem and markers of subjective well-being. Beyond this, the results confirm that personal identity clarity mediates the relationship between cultural identity clarity and both self-esteem and well-being in all cultural groups. Having clear and confident beliefs about one's cultural group is associated with having clear and confident beliefs about one's personal self, which in turn predicts markers of psychological adjustment. In Manuscript 2, I explore the causal direction of the relationship between cultural identity clarity and self-esteem and well-being. A novel methodology involving computer-mediated communication is used to manipulate cultural identity clarity in a laboratory context. In two experiments, negotiating a computer-mediated social interaction with a clear cul
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".