Bibliographic record
Abstract
Psychological literacy is the ethical application of psychological skills and knowledge. This could benefit individuals in their personal, occupational, and civic lives and subsequently benefit society as a whole. We know that psychology has a wide-ranging impact on society. The potential benefits of a psychologically literate citizenry in improved parenting, better business practices, enlightened legislation, and many other areas make this a desirable goal. It has been proposed that this should become the primary goal of an undergraduate psychology education to benefit the majority who do not go on to graduate school and even those who only take a few psychology courses. This idea has significant merit and warrants further investigation and development. However, there are major concerns that need to be addressed. First, what are uniquely psychological skills and knowledge? Many of the skills psychology undergraduates acquire are generic to university and not specific to psychology. Second, psychology can be as harmful when misapplied as it can be beneficial when ethically applied. Third, psychology departments will need to address pragmatic as well as ethical issues, including issues of competency, boundaries, accountability, and confidentiality. Fourth, the available empirical evidence to direct such efforts is primarily at the anecdotal, case example, and pilot study stages. Significant improvements are needed in measuring psychological literacy, choice of outcome measures, and research methodologies before these advantages can be realized in an empirically supported manner. Currently, best practices in the undergraduate curriculum are the mindful and purposeful design of courses and experiential opportunities. It is proposed that psychological literacy is best conceptualized as a meta-literacy and that it should become a goal of psychology undergraduate education but not necessarily the goal.
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 | 0.044 | 0.146 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.009 | 0.038 |
| Scholarly communication | 0.012 | 0.026 |
| Open science | 0.010 | 0.011 |
| Research integrity | 0.020 | 0.068 |
| Insufficient payload (model declined to judge) | 0.008 | 0.012 |
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".