Bibliographic record
Abstract
Place is often seen as a location of meaning. But whose meaning fills the location? Who defines meaning? What kind of meaning do we seek? These questions inadvertently call on place-based education to reflect on the often-unexamined meaning of place prevailing in the field. This paper draws substantially on the work of critical feminist geographies and the author’s own experience as a transient woman of colour to explore the diverse thoughts on and framing of place and to reveal how place is conceived, perceived, and lived through interrelated place anchors. The paper proposes this framework of place anchors in hopes that educators will have an entry point to critically reflect on and understand place as they/we engage in various place pedagogies. Resume On considere souvent les lieux comme charges de sens. Mais pour qui le sont-ils? Qui definit ce sens? Quel sens y cherche-t-on en particulier? Ces questions nous portent incidemment a pousser notre reflexion sur le sens a donner a la notion de « lieu » en education axee sur le lieu, une dimension souvent oubliee. Dans cet article, l’auteure, eclairee surtout par les travaux de geographes feministes critiques et par sa propre experience de migrante et femme de couleur, explore differentes reflexions et conceptions concernant la notion de « lieu ». Elle explique egalement comment un lieu est cree, percu et vecu a travers des points d’ancrage interrelies. Ce concept de points d’ancrage est propose en vue d’offrir aux educateurs un point de depart pour entreprendre une reflexion critique et mieux comprendre l’idee de « lieu » lorsqu’ils recourent a diverses approches pedagogiques axees sur le lieu.
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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.056 |
| Scholarly communication | 0.010 | 0.014 |
| Open science | 0.001 | 0.016 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".