Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The demographic storm clouds have been gathering for some time. No one should say we did not have sufficient advance warning of the gathering storm. Everyone should conclude that we did not act in a proactive and purposeful manner in order to avert the disastrous consequences of this perfect demographic storm. Despite the silver lining in the 2011 census data, the sun has not broken through the clouds on the New Brunswick demographic landscape. This paper analyzes New Brunswick’s demographic antecedents and proposes a proactive strategic plan for New Brunswick’s sustainable demographic future Resume Les nuages de la tempete demographique se sont accumules depuis quelque temps. Personne ne peut pretendre ne pas avoir ete prevenu que la tempete arrivait. Nous devons tous conclure que nous n’avons pas agi de maniere proactive et ciblee afin d’eviter les consequences desastreuses de cette tempete demographique parfaite. Malgre une certaine lueur d'espoir qui pointe des donnees du recensement de 2011, le soleil n’a pas perce les nuages au-dessus du paysage demographique du Nouveau Brunswick. Cet article analyse les antecedents demographiques du Nouveau Brunswick et propose un plan strategique proactif pour un avenir demographique durable dans cette province.
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.
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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| 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 it