Bibliographic record
Abstract
Invitational theory presents the concept of invitations as related to five factors: people, places, policies,programs, and processes (Purkey & Schmidt, 1990). In this article, I propose the addition of a sixth "P," politics.The assumption is that without addressing the political aspect of schools and school systems, success of theinvitational model with the other five dimensions is undermined or negated at best.In spite of reform movements of past and recent years the "deep structures of schooling," as Cuban (1990)described them, are unchanged. Schools remain characterized by balkanized divisions or departments (Hargreaves,1989). Students are taught subjects, failed and retained in grades, or passed and graduated with little empiricalsupport for either process. Likewise, students are "labelled, libeled, sorted and grouped" in contradiction to thefindings of educational research (Purkey & Novak, 1984). Why, in spite of a plethora of change efforts over theyears, are schools fundamentally the same as they used to be?
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 | 0.011 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| 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".