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Record W6997467415

Working as a Public Relations Coordinator at a Canadian exchange program provider

2019· other· en· W6997467415 on OpenAlexaboutno aff

Bibliographic record

VenueTheseus (Ammattikorkeakoulujen) · 2019
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Process (computing)Presentation (obstetrics)Task (project management)Public sector
DOInot available

Abstract

fetched live from OpenAlex

This diary-model thesis discusses and deals with author’s experience and professional growth working as a Public Relations Coordinator at INTERNeX International Exchange. \n \nThe thesis starts with an introduction. The company, author’s work tasks, needed skills and work environments are described. The author has just begun working at the company’s head office which is located in Vancouver, Canada. Tasks vary from organizing events from scratch to managing company’s social media channels. \n \nAfter the introduction follows a 10-week-long diary part which took place from 11.03.2019 to 17.05.2019. The diary consists of notes from each day where the author describes the work day and possible problems that were faced. In the end of each week a deeper analysis is written to discuss the previous week and its challenges. With the help of professional literature related to the handled topics author analyses what models and theories have been used and what should be used in the future. \n \nAs a result of the thesis a Discussions and Conclusions- part is written which is the final part of the thesis. In this part the learning points and challenges from the weekly analyses of the work are described. During this process the author started to realize the importance of the public and how to use the information gotten from the customers beneficially. The author also found tools which helped surviving in the fast-paced work environment. \n \nOne challenge was the continuous self-reflection throughout writing the daily reports and weekly analyses. The author succeeded in developing her analyzing skills as the paper progressed. This paper helped the author to recognize what kind of work would be suitable for her in the future and what skills improved or need to be improved.

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 imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.442
Threshold uncertainty score0.890

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0320.004
Scholarly communication0.0090.005
Open science0.0020.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0550.013

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 head0.035
GPT teacher head0.273
Teacher spread0.238 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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