Production of robust geological maps through the integration and analysis of field and remotely-sensed data in a GIS environment: an example from the eastern Grenville province, Quebec.
Bibliographic record
Abstract
The objective of this study is to analyze the role that peer support plays in the incidence relationships between sociometric popularity and general self-concept based on sociometer theory. A total of 676 randomly selected secondary school students from the Basque Country (49.6% boys and 50.4% girls) between 12 and 18 years of age (<i>M</i> = 14.32, DT = 1.36) participated voluntarily. All of them completed a sociometric questionnaire (SOCIOMET), the Family and Friends Support Questionnaire (AFA-R), and the Dimensional Self-concept Questionnaire (AUDIM-33). Several models of structural equations were tested. The results indicate that sociometric popularity is linked to self-concept through the perceived social support of peers. These results are discussed within the framework of positive psychology and its practical implications in the school context.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".