Principal-Teacher Interaction and Primary School Climate in Trinidad and Tobago
Bibliographic record
Abstract
The research focused on the extent to which selected dimensions of principal and teacher behaviour could be measured and classified within the framework of one of the more recent models for measuring primary school climate - the Organizational Climate Description Questionnaire (Rutgers Elementary, the OCDQRE). The model is a modification and updated version of the original Organizational Climate Description Questionnaire (OCDQ) developed by Halpin and Croft (1963). A research team at Rutgers University evaluated the original OCDQ as a measure of school climate. New items were generated and tested. The findings suggested that this revised instrument was a valid and reliable measure of primary school climate. The study recognized that the concept of school climate is a loosely-defined global construct with considerable variation in its measurement as well as the multidimensional variables of principal, teacher, student, parent and the wide community as climate constituents (Katz and Khan 1966, Anderson 1982). However, for the purpose of the study, school climate was limited and defined as a set of measurable properties of teacher - teacher and principal- teacher relationships based on their collective perceptions in the school setting. The following questions were considered important to the study: To what extent is the OCDQ - RE model a reliable measure of primary school climate in Trinidad and Tobago? Which primary schools in the sample could be classified as open, closed engaged and disengaged when teacher and principal behaviour mean scores were combined?
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".