Albert Ellis’ Theory of Personality and Its Influence on Youth Smoking: A Critical Review
Bibliographic record
Abstract
Albert Ellis, an American psychologist, founded Rational Emotive Behavior Therapy (REBT). REBT is a form of psychotherapy based on the idea that human beings are “sign-, symbol-, and language-creating.” Along with REBT, Ellis also developed the A-B-C Theory of Personality. In this theory, significant activating events (A) causes human beings to create musturbatory belief systems (B) leading to emotional consequences (C) based on their beliefs. Following Ellis’s theories, I argue that youth smoking is a behavior that results from a dire need for social acceptance and approval. I then propose that REBT can be used to reduce rates of youth smoking. In this critical review, I initially provide a detailed biography of Albert Ellis and an overview of his theory of personality. Then, I demonstrate the negative effects of the media and personal relationships serving as significant activating events that cause the early onset of tobacco use. Finally, I propose my own solutions, based on Ellis’s cognitive, emotive-evocative, and behavioral therapies, to decrease youth smoking rates. Albert Ellis, un psychologue américain, a fondé la thérapie rationnelle-émotive- comportementale (en américain, rational emotive behavior therapy, REBT). La REBT est une forme de psychothérapie basée sur l'idée que les êtres humains sont créateurs de signes, symboles et de langue. En plus de la REBT, Ellis a également développé la théorie ABC de personnalité. Selon cette théorie, un événement activant (A) sollicite le système de croyances de la personne (B) qui mène à des conséquences émotionnelles (C) en lien direct avec son système de croyances. Suite aux théories d’Ellis, je soutiens l’idée que fumer à un jeune âge est un comportement qui naît d’un besoin d'acceptation sociale et d'approbation. En second lieu, je propose que la REBT puisse être utilisée afin de réduire les taux de tabagisme chez les jeunes. Dans cette revue critique, je donne d'abord une biographie détaillée d’Albert Ellis et un aperçu de sa théorie de personnalité. Par la suite, je démontre les effets négatifs des médias et des relations personnelles, qui servent d’événements activant importants qui provoquent l'apparition précoce de l'usage du tabac. Enfin, je propose des solutions qui me sont propres, basées sur les thérapies cognitives, émotives et comportementales d’Ellis, dans le but de réduire les taux de tabagisme chez les jeunes.
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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) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".