Bibliographic record
Abstract
Host parenting an international exchange student facing a medical crisis brings representatives of 1st and 3rd Worlds together under one roof. All parties are mature, adult English speakers who have travelled internationally; the medical crisis resolves happily. Why, then, so much hurt and anger? Why so much ill will? A host Dad looks back at some of the speed bumps and flashpoints that were provoked by ordinary, well-intentioned conversation, along with good faith efforts to get through them. Key words: International; Intercultural; Interculturalist; Exchange student; Host parent; CommunicationResume: Le parent d’accueil des etudiants d’echange internationaux face a une crise medicale qui reunit les representants venant du pays avances et des pays en voie de developpement sous un meme toit. Toutes les participants sont des orateurs anglais murs, adultes qui ont voyage internationalement; la crise medicale resout heureusement. Pourquoi, et tant de mal et colere ? Pourquoi tant de mauvaise volonte? Un Papa hote regarde derriere soi a certains des ralentisseurs et des points d'ignition qui ont ete provoques par la conversation ordinaire, bien intentionnee, avec des bons efforts de foi de les passer.Mots-cles: International; Interculturel; Interculturaliste; Un programme d'echange; parent d'accueil; Communication
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 | 0.009 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.011 |
| Scholarly communication | 0.011 | 0.017 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.006 | 0.019 |
| Insufficient payload (model declined to judge) | 0.020 | 0.009 |
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".