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Enregistrement W2099818270 · doi:10.1242/jcs.115.7.1341

Giving science in schools a sporting chance

2002· article· en· W2099818270 sur OpenAlexaboutno aff
Caveman

Notice bibliographique

RevueJournal of Cell Science · 2002
Typearticle
Langueen
DomainePsychology
ThématiqueScience Education and Perceptions
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBiologyNewspaperTest (biology)State (computer science)Library scienceMedia studiesEcologySociologyMathematics

Résumé

récupéré en direct d'OpenAlex

I read in a newspaper the following statistics. (1) California has the highest number of Nobel Laureates in the sciences of any US state and more than any country in the world. (2) Test scores for California school children(10-15 years old) in the sciences are the lowest of any US state and are considerably (and consistently) below those of children in Japan and Europe.How is it that an American state apparently rich in science talent (if a Nobel Prize is a mark of talent?) has such a dismal record of achievement in the sciences in children? Surely, one would expect some sort of trickle-down effect in which the local greats in science are held up as examples to children, who, in turn, look up to them and are inspired. Assuming that test scores are a reflection of future creativity at the bench (a big assumption),these children will not, apparently, be the next generation of the science elite - at least in California.In sports, this would not be the case: excellence of individuals in a given sport would correlate directly with excellence of youth in that sport. For example, recall the amazing increase in the number of Swedish tennis players and their rise to prominence after the success of Bjorn Borg, or the desire of the basketballing youth in America to be “just like Mike” when Michael Jordon was in his prime. One could reiterate this point for most sports - soccer in South America, rugby in New Zealand, ice hockey in Canada,cricket in England - no wait a minute, that's going to far! But, what about the sciences? Do the youth look up to Nobel Laureates or the common-or-garden form of scientist that is most of us? Where and when does the layperson have the chance to see a scientist `au naturel', someone to emulate, someone who is interesting and doing something that they would like to excel at and be recognized for?We constantly see sports stars on television, in films and magazines. But,where are the prominent scientists? Where are the person's interest stories(Fiona Watt's secret life as a Scottish reggae bongo player), the full-color spreads in magazines (Günther Blobel modeling spring fashions for the discerning cell biologist), interviews on day-time TV (Paul Nurse's favorite sponge cake recipes) or endorsements for products in advertisements (why Gary Borisy prefers boxers)? This is where the general public, and particularly those under 18, is most influenced.But before you go out and endorse PG Tips and Marmite as the reasons for your success in science, there are more obvious and direct ways to promote science in schools.Funding is one. Again, the comparison with sports is telling. All of us can identify in one sport or another the player who was signed for millions, the stadium that was built for hundreds of millions, the millions spent on training and facilities, and the role of national/local governments in contributing (your taxes) to these ventures. When did you (last) hear about such investments in science education in our schools? Probably never. Why are national and local governments allowed to make these `investments'? Be an advocate for funding of science in schools, champion those in local government that want to fund schools and oppose those who divert precious resources to sports stadiums. Go to fund-raisers for your school, get involved in parent associations and talk to school administrators and teachers.Involvement in teaching and training is another way to promote science in schools. There are several ways to do this. Volunteer to teach science in your local school. I find that teachers are happy for some `spot' help, as long as you are respectful of their work and time. Run clubs (e.g. a math club),although this is usually outside of regular school hours. I have had several graduate students who have given lectures in local high schools - and in one case taught full time while completing the final year of her PhD! Get involved in training. For example, design short courses for science teachers to teach them new techniques and simple experiments - it is amazing how sophisticated the experiments can be (cloning genes into bacteria, analysis of protein distributions by microscopy). These experiments should be transplantable to the school science lab. What about equipment? I am sure that your lab, like mine, is full of old pieces of equipment in storage that are in sufficiently good working order for a school lab.Another target of training in your lab is the student. Such training can be in the form of group summer projects. In my institution, we have several summer programs for high-school students (usually in their penultimate or final year). There is a selection process for applicants, and the successful ones are matched, usually in pairs, with different labs. They work on a specific project for six weeks, supervised by the head of the lab and a postdoc or senior graduate student. At the end there is either an oral presentation or poster session, where the students present their work - it has not been uncommon for the students to be included as a co-author on a subsequent publication. The ultimate involvement is to have a solo high school student in your lab. Some homework is required of you to make sure that they have the potential to learn techniques and to handle lab personalities,although these may be close to the adolescent, sophomoric state in schools(the one that I have in my lab is brilliant).In reality, direct contact with school science teachers and students is the best and probably only way both to raise the visibility of scientists and their profession to students and to improve the quality of science in schools. However, scientists should not pass up the opportunity to advertise to the general public, even if you have to wear paisley boxers and the timing of your bongo rhythm is off!

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,012
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,122
Score d'incertitude au seuil0,407

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,012
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0090,004
Communication savante0,0130,010
Science ouverte0,0010,008
Intégrité de la recherche0,0070,010
Charge utile insuffisante (le modèle a refusé de juger)0,1220,040

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,072
Tête enseignante GPT0,389
Écart entre enseignants0,318 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2002
Routes d'admission1
Résumé présentoui

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