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Record W7093628229

Гендерні аспекти профорієнтаційної роботи з учнями
\nсередніх навчальних закладів Канади
\n(Gender aspects of career guidance of students of Canadian secondary schools)

2016· other· uk· W7093628229 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Repository of Ostroh Academy (Ostroh Academy) · 2016
Typeother
Languageuk
FieldEnvironmental Science
TopicUkraine: War, Education, Health
Canadian institutionsnot available
Fundersnot available
KeywordsCareer developmentWork (physics)Inclusion (mineral)ConsciousnessOrder (exchange)Professional developmentPersonal development
DOInot available

Abstract

fetched live from OpenAlex

Проаналізовано канадський досвід врахування гендерних аспектів у профорієнтаційній
\nроботі зі школярами. Розкрито сутність гендерно справедливого професійного спрямування в
\nканадській середній школі. Висвітлено напрями профорієнтаційної роботи та відображення
\nгендерної складової у них. З’ясовано риси та навички, які формують канадські педагоги у
\nсвоїх вихованцях для їх успішного працевлаштування та виконання майбутніх професійних
\nсоціальних ролей. Окреслено основні форми роботи з молоддю для розширення її уявлень
\nпро можливі траєкторії трудової діяльності. Охарактеризовано програми, метою яких є
\nзаохочення учениць до вибору нетрадиційних для їх статі професій, обґрунтовано принципи
\nтаких програм
\n(The Canadian experience of taking into account gender aspects in the career guidance of students has
\nbeen analyzed. The essence of gender-equitable professional development in Canadian schools has been
\nillustrated. The main directions of career development and gender inclusion in these spheres have been
\ndetermined. Personal qualities and skills which are formed and developed in students by Canadian teachers
\nfor their effective employment and performance of future professional and social roles have been outlined.
\nThe main forms of work with youth in order to expand their consciousness of career paths have been defined.
\nThe programs aimed at girls’ encouragement to choose nontraditional careers for their sex have been
\ncharacterized. The principles of these programs have been justified.)

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0030.002
Science and technology studies0.0000.004
Scholarly communication0.0000.002
Open science0.0060.001
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.019
GPT teacher head0.274
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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