While incels are in the news again it’s important to remember
- concerns were raised about this over two decades ago
- Black women raised the alarm
- journalists were asked to address problems both documenting incels and their own poor sex and relationships writing, but avoided
Not just concerns about incels but worries about poor sex and relationships education, lack of parental supervision/awareness online, PUAs, g*mer**te, the far right and more, and all amalgamations of these.
Journalists may want to cover this now, because it’s “news” not recognising there’s a long history of growing problems and a legacy of many people who tried to raise concerns and in many cases were dismissed as killjoys and prudes (particularly in the early to mid noughties).
Today’s #ResearchTip is keep a database when you’re trying to get people on board with your research. It’ll help keep track of who’s keen to join, who isn’t, and why.
This database should be for the network you’re building to inform and advance your research. Keeping track of who you’re approaching, whether they’re interested or ready to join in, and in what capacity, helps track the time you’re spending and who is an ally or an obstruction.
It can be especially useful if you are needing to justify to supervisors, bosses or funders how long research is taking. It can also be a good way to track what you share (which can help if you fear other potential contacts are not reliable or trustworthy).
While it’s not true of everyone in very senior academic roles, a large number of people in them have a parent or other relative who was also senior/well known who opened doors for them (and closed them for you).
It doesn’t mean they aren’t bright or don’t necessarily deserve their role, but they will have had all manner of lucky breaks you won’t have had. So it’s not your lack of ability or drive that’s blocking your progress. It’s a lack of relatives making a path for you.
In addition many senior academics are financially secure with a good support network. Stable housing (sometimes more than one home). These are also hidden benefits that make work much easier. You can thrive and progress if you’re not worried about the bills.
You may have experiences and perspectives you feel strongly about. Or see others discussing things you dis/agree with. Working in a university doesn’t magically make you more informed. Your ideas or observations need checking and exploring alongside research others have done /2
This doesn’t mean a cursory quick Google or looking in one academic search engine. It means identifying key words and search parameters and looking across disciplines. Then appraising, critiquing, reflecting and synthesising what you discover. How does it fit with your idea? /3
In case this (or something like it) ever happens to you, editors should NOT send out reviews like this. Reviewers should be trained in competent, clear and respectful reviewing. Push back hard if you get something like this. #AcademicTwitter#AcademicChatter#PhDChat#gradschool
Criticisms that say work needs a do-over or re-starting need to explain why and how. No snark without solution. If it's just a 'you're terrible, go away and start again' remark it does not belong anywhere.
If you get a review like this you cite the COPE ethical guidelines for reviewers "be objective and constructive in their reviews, refraining from being hostile or inflammatory
and from making libellous or derogatory personal comments" publicationethics.org/files/Peer%20r…
Today's #ResearchTip is be wary if using qualitative approaches and are encouraged to make your research "more reliable" by
- using a random sample
- converting qual data to numerical data
- incorporating quant approaches #AcademicTwitter#AcademicChatter#PhDChat#HigherEd /1
I bore myself having to say this but we are decades beyond any qual vs quant debates, teaching qual in contrast to quant, implying qual methods are lesser to quant ones, or artificially forcing qual methods into quant approaches. Stop it already! /2
This #ResearchTip is prompted by seeing yet another example of someone being told to "improve" qual research by making it more quant (applying randomisation). If you're not expert in qual methods stop telling people how to do them and go learn yourself /3